Senior Software Engineer jobs at Heartland Payment Systems - 153 jobs

A Boston-based financial services firm is seeking a Senior Software Engineer - Data Modeling to enhance their data platform. The role requires building robust solutions, mentoring junior members, and contributing to system architecture discussions. Ideal candidates will have extensive experience with cloud-native technologies, Python programming, and a solid understanding of data systems. A commitment to collaborating in a team-oriented environment is essential. #J-18808-Ljbffr

A leading financial services company in Boston is seeking a Head of Liability ALM Strategy to lead their insurance products ALM strategy. The ideal candidate will have extensive actuarial experience, strong leadership skills, and a deep understanding of financial modeling and risk management. This role includes collaboration across teams and presenting insights to senior management. Compensation is competitive, and the company fosters an inclusive employment culture. #J-18808-Ljbffr

A tech startup in Boston is seeking a GTM Partner Systems Operations expert to develop and scale the partner ecosystem. This role involves constructing commission models and partner programs while ensuring synergy with finance, sales, and marketing teams. Ideal candidates will have a minimum of 2 years of experience in operational roles, strong analytical skills, and technical proficiency with CRM platforms. Join us to make a meaningful impact as we redefine partnership dynamics in today's digital landscape. #J-18808-Ljbffr

A leading investment management firm is seeking a Senior Software Engineer to join their Boston team. This role focuses on developing innovative web applications and collaborating closely with business teams. Candidates should have strong JavaScript skills, preferably with ReactJS, and a keen understanding of UI design principles. You will work in a fast-paced environment, modifying existing systems and building new software components. The firm offers a flexible work schedule, competitive salary, and comprehensive benefits. #J-18808-Ljbffr

A systematic investment firm in Boston is seeking a Senior AI Software Engineer to design and develop innovative AI solutions. Candidates should have substantial experience with Python and machine learning, alongside strong analytical and collaboration skills. The role involves integrating diverse data sources and optimizing AI systems for performance and scalability. This position offers a competitive salary range between $115,000 and $325,000 per year. #J-18808-Ljbffr

We are looking for an experienced Quant Developer with Python experience , to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. Our development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas. As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team. Responsibilities: Writing and maintaining Python libraries that supports the investment research production processes Designing and creating software to enhance our data science technology stack Design and implement financial data APIs and numerical APIs Apply cloud and distributed computing technologies Implementing performance improvements in our data analysis and numerical programming code Running POCs to evaluate new technologies and libraries in the PyData ecosystem Working with software engineers to design feeds for new data sources from third-party vendors Propose and lead implementations of major components or features in our data science platform Mentor, train and provide technical guidance to junior team members in design and coding standards Other projects based on experience and interest. Qualifications: An undergraduate or graduate degree from an educational institution in computer science Strong analytical and problem solving skills Expert programming skills in Python, experience implementing production-grade Python code Experience in OOP paradigms, data structures, and numerical algorithms Data storage: RDBMS, S3, columnar databases, NOSQL databases Distributed computing: Spark, Dask, or HPC Understanding/interest in probability and statistics, including linear regression and time-series analysis Curiosity and a willingness to learn new technologies Interest in financial markets (prior experience not required) Excellent communication skills High energy and strong work ethic In addition, experience with any of the following would be valuable: Hadoop, Spark, Kafka, and related technologies Unix/Linux system tools and environment Basic familiarity with unit testing, continuous integration, DevOps, containerization Interactive data visualization and dashboards The base salary range for this position is $170,000 - $325,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

The Senior Software Engineer - Data Modeling will work within Research Systems as part of the Data Models, Forecast Platform team, and be focused on the implementation of our next generation platform as part of a modern research data platform. Working closely with stakeholders in the quantitative research team, this person will help drive technical innovation and scalable design as we build high-quality solutions. Scaling and performance are the key criteria for these systems, but modularity and maintainability are of equal focus. The expectation of the role is to be hands-on, implementing features and capabilities of the next generation system. They will also be part of mentoring and guiding junior members of the team. In addition, they will also be part of on-call support rotations for our Research stakeholders as we maintain our existing applications. To succeed in this role, they will need to have a passion for designing robust architectures at large scale, managing complex dependencies, and validating system migrations. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. Responsibilities Participate in building a data and HPC platform that can meet the scalability and processing needs of Research and Research Systems Participate in deep architectural discussions to ensure solutions are designed for successful deployment, scale, security, cost effectiveness and high availability Implement features and capabilities of our next generation system, accelerating the deployment time of solutions within a collaborative development environment. Achieve high quality metrics through automated testing, robust operational tooling and reliable designs Lead/participate in code reviews, and contribute actively during pair programming sessions aimed at enhancing overall quality of delivered artifacts Participate in support rotations of our production systems for our Research stakeholders Qualifications Bachelor's degree in Computer Science, Computer Engineering or a related discipline; at least 5 years of prior experience, financial services exposure is a plus Proven record of delivering solutions that are used in a production environment at scale, with high degrees of parallelism, accuracy and uptime requirements Proven record of building high-performance cloud native solutions on public cloud (AWS preferred) Experience with container technologies like Docker, Kubernetes, Helm Experience working with data lakes, data warehousing, and/or database systems, including data frameworks like Trino, Spark, Pandas/Polars, Iceberg, etc Ability to write elegant code, and comfortable with picking up new technologies independently 3+ years of experience building data centric applications in Python Comfortable working with existing SQL and C# codebases Experience leading projects or teams is a plus Experience with Helm and Infrastructure as Code tools (Terraform preferred) is a plus The base salary range for this position is $135,000 - $325,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

We are looking for a Senior AI Software Engineer to join our Tooling and Automation team. Our team is at the forefront of building innovative Agentic AI solutions that transform how the firm leverages artificial intelligence to deliver insights and automation. As a team member, you will design, develop, and deploy state-of-the-art GenAI solutions, integrating multiple data sources and collaborating closely with Product, Data, Engineering, and Compliance. The ideal candidate is passionate about artificial intelligence, self-driven, team-oriented, and motivated to build, maintain, and optimize responsible and scalable AI solutions. Responsibilities Design, develop, and deploy Agentic AI solutions leveraging industry-standard AI frameworks Integrate diverse structured and unstructured data sources into GenAI models to broaden functionality and deliver actionable insights Utilize MCP tooling to ingest disparate data sources for agent-driven applications Collaborate with cross-functional teams (Product, Data, Engineering, Compliance) to scope and implement new GenAI use cases and solutions Develop, test, and maintain robust APIs and data pipelines for efficient data ingestion, transformation, and output within GenAI frameworks Continuously monitor advancements in Generative AI and Large Language Models (LLMs) to proactively recommend and implement relevant updates Document AI system designs, experiments, code, and processes for reproducibility, transparency, and knowledge sharing across the team Optimize GenAI and agentic solutions for performance, scalability, and responsible/ethical AI practices Write unit tests and perform code reviews to ensure high quality, reliable, and maintainable code Stay current with emerging trends and technologies in GenAI, Agentic AI, and related fields, applying them to enhance projects and infrastructure Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field Minimum of 5 years of programming experience, including substantial hands-on experience with Python Demonstrated expertise in designing and deploying machine learning, GenAI, or LLM-based solutions Strong analytical, problem-solving, and critical-thinking skills Experience with integrating structured and unstructured data sources into AI/ML models Familiarity with standard AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience developing and maintaining data pipelines and RESTful APIs Strong background in data structures, algorithms, and layered architecture Experience with container technologies such as Docker, Kubernetes Experience with AWS or other public cloud services, especially for deploying AI/ML workloads Experience with MLOps, infrastructure-as-code frameworks (Ansible, Terraform, CloudFormation), or DevOps CI/CD tools (e.g., GitLab) is a nice to have Experience building and/or deploying Generative AI, LLMs (e.g., LLama), and RAG implementations is an asset Familiarity with MCP tooling and agentic frameworks is an asset Experience with compliance, responsible AI, or ethical AI considerations is an added value Full stack development skills (e.g., React or other modern web frameworks) are a plus OS-level experience (Linux and/or Windows) is a plus The base salary range for this position is $115,000 - $325,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

The Senior Software Engineer - Data Modeling will work within Research Systems as part of the Data Models, Forecast Platform team, and be focused on the implementation of our next generation platform as part of a modern research data platform. Working closely with stakeholders in the quantitative research team, this person will help drive technical innovation and scalable design as we build high-quality solutions. Scaling and performance are the key criteria for these systems, but modularity and maintainability are of equal focus. The expectation of the role is to be hands-on, implementing features and capabilities of the next generation system. They will also be part of mentoring and guiding junior members of the team. In addition, they will also be part of on-call support rotations for our Research stakeholders as we maintain our existing applications. To succeed in this role, they will need to have a passion for designing robust architectures at large scale, managing complex dependencies, and validating system migrations. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. Responsibilities Participate in building a data and HPC platform that can meet the scalability and processing needs of Research and Research Systems Participate in deep architectural discussions to ensure solutions are designed for successful deployment, scale, security, cost effectiveness and high availability Implement features and capabilities of our next generation system, accelerating the deployment time of solutions within a collaborative development environment. Achieve high quality metrics through automated testing, robust operational tooling and reliable designs Lead/participate in code reviews, and contribute actively during pair programming sessions aimed at enhancing overall quality of delivered artifacts Participate in support rotations of our production systems for our Research stakeholders Qualifications Bachelor's degree in Computer Science, Computer Engineering or a related discipline; at least 5 years of prior experience, financial services exposure is a plus Proven record of delivering solutions that are used in a production environment at scale, with high degrees of parallelism, accuracy and uptime requirements Proven record of building high-performance cloud native solutions on public cloud (AWS preferred) Experience with container technologies like Docker, Kubernetes, Helm Experience working with data lakes, data warehousing, and/or database systems, including data frameworks like Trino, Spark, Pandas/Polars, Iceberg, etc Ability to write elegant code, and comfortable with picking up new technologies independently 3+ years of experience building data centric applications in Python Comfortable working with existing SQL and C# codebases Experience leading projects or teams is a plus Experience with Helm and Infrastructure as Code tools (Terraform preferred) is a plus The base salary range for this position is $135,000 - $325,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

We are looking for an experienced Quant Developer with Python experience , to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. Our development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas. As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team. Responsibilities: Writing and maintaining Python libraries that supports the investment research production processes Designing and creating software to enhance our data science technology stack Design and implement financial data APIs and numerical APIs Apply cloud and distributed computing technologies Implementing performance improvements in our data analysis and numerical programming code Running POCs to evaluate new technologies and libraries in the PyData ecosystem Working with software engineers to design feeds for new data sources from third-party vendors Propose and lead implementations of major components or features in our data science platform Mentor, train and provide technical guidance to junior team members in design and coding standards Other projects based on experience and interest. Qualifications: An undergraduate or graduate degree from an educational institution in computer science Strong analytical and problem solving skills Expert programming skills in Python, experience implementing production-grade Python code Experience in OOP paradigms, data structures, and numerical algorithms Data storage: RDBMS, S3, columnar databases, NOSQL databases Distributed computing: Spark, Dask, or HPC Understanding/interest in probability and statistics, including linear regression and time-series analysis Curiosity and a willingness to learn new technologies Interest in financial markets (prior experience not required) Excellent communication skills High energy and strong work ethic In addition, experience with any of the following would be valuable: Hadoop, Spark, Kafka, and related technologies Unix/Linux system tools and environment Basic familiarity with unit testing, continuous integration, DevOps, containerization Interactive data visualization and dashboards The base salary range for this position is $170,000 - $325,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $120 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches. What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose: delivering effective client outcomes and supporting one another in work that's both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian. Position Overview: We are looking for a Senior Analyst to work in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools. This is an exceptional opportunity to help build out alpha, risk, transaction cost and portfolio analysis systems at Acadian as part of an entrepreneurial team. The successful candidate will be integral to developing the platform and infrastructure for quantitative models used in Acadian's equity products. As a member of the investment team, this person will closely collaborate with PMs, quantitative researchers and integration analysts. Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week. What You'll Do: * Develop, validate and enhance Acadian's proprietary forecast, risk, transaction cost and attribution models on Acadian's quantitative research and production infrastructure. * Implement, enhance and support Acadian's data platform and modeling infrastructure. * Work with quantitative portfolio managers to build tools and software libraries to advance analytics platforms using machine learning techniques. * Build systems to gather, cleanse and integrate data from various sources for research and modelling needs. We're Looking for Teammates With: * Master's degree with an outstanding academic record in a technical field such as science, engineering or mathematics, with 3+ years of experience as a developer for an investment firm; or bachelor's degree with 5+ years of experience. CFA charter is a plus. * Hands on development experience in Python (pandas, sklearn, statmodels, cvxopt, etc). Familiar with popular machine learning algorithms and packages. Good understanding of software system development life cycles. * Experience in using and building high performance computers, containers, pipelines/scheduling and their relevant tools * Familiar with financial data series, building and optimizing data structures and operating data delivery platforms. * Strong mathematical and advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form. * Familiarity with large language model (LLM) tools and applications (e.g., prompt engineering, API integration, or agentic workflow) is a strong plus * Creativity, enthusiasm, collegiality and the ability to excel in a self-starting environment. * Strong work ethics and roll up your sleeves attitude to deliver projects under tight schedule. * Great attention to details. The base salary range for this role is $175,000 - $200,000 per year. Actual compensation will be determined based on a candidate's skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian's comprehensive benefits program, which includes health, retirement, and wellness offerings. To apply for this position or view Acadian's open roles, please visit the Careers section of our website at: ******************************************************* We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at ****************************. Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

We are looking for a talented individual who will be building, supporting, and extending the functionality of Rust-based research tools critical to the success of our high-frequency business. This role requires prior experience in developing Linux-based high-performance computing applications using Rust or, if the candidate is not familiar with Rust, then C++ with a willingness to learn Rust. In order to maximize the throughput and minimize the latency in producing market-making data and trading simulations, the candidate must have intimate knowledge of how modern CPUs allocate, access, and read memory. The candidate is expected to actively collaborate with other developers and researchers to add or enhance requested features and allow for fast iterations to improve trading systems. You will be confronted to cutting-edge problems for which you'll need to design proprietary solutions for a very competitive business. Required qualifications: Technical background with a strong CS component (Math, Physics, Engineering, CS) Deep knowledge of one of C, C++, or Rust programming knowledge which goes beyond writing basic code Looking for prior experience (professional or personal) in developing high performance systems (e.g. for performance sensitive applications such as video games) Previous experience developing algorithms that make use of multithreading and SIMD Working knowledge of computer architecture, computational graphs, and compilers Nice to have: Evidence of online contribution to open-source projects is a plus Prior experience with XLA or MLIR is a plus The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors

About this role: The Senior Lead Wealth Planning Strategist plays a significant role in deepening and broadening relationships with existing clients, as well as developing/bringing new client relationships of $10MM+ into Wealth & Investment Management. In this role, you will: Provide customized wealth planning advice to clients and prospects, based on deep client discovery and understanding of client goals and objectives Work with Advisors to develop business opportunities with clients and prospects Focus on cash flow analysis, insurance analysis, education funding analysis, executive compensation issues and stock option analysis, asset allocation analysis, income tax planning, charitable planning, business succession, asset protection, and estate and wealth transfer strategies Provide support as a subject-matter expert to clients and Advisors around wealth planning content, services, and solutions Coach and educate Advisors to independently implement wealth planning advice to other clients Prioritize consulting and interactions with Advisors to serve largest and most complex clients Present wealth planning advice during client meetings in clear, concise, and actionable manner Collaborate with internal and external partners to promote wealth planning both internally and externally Adhere to all planning and risk protocols and procedures Required Qualifications: 7+ years of Wealth Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 10+ years comprehensive financial planning experience with U/HNW clients, including, but not limited to, financing planning, goals-based investing, private banking, retirement strategies, and other U/HNW solutions 10+ years of wealth transfer and planning experience with U/HNW clients Advance degrees and/or professional designations/licenses, such as J.D., MBA, M.S. in Taxation, or CPA, Certified Financial Planner (CFP), and/or Chartered Financial Analyst (CFA) strongly preferred Deep experience with clients in the $25+ million net worth segment Professional network and local market knowledge in location and location markets Job Expectations: Ability to travel up to 25% of the time Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. $185,000.00 - $300,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 5 Jan 2026 * Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Position Summary: As a Senior Solutions Engineer in InvoiceCloud's Insurance vertical, you'll play a key role in shaping how our customers connect their core systems with our EBPP platform. You'll design and deliver modern, secure, and scalable integrations that enable frictionless digital payment experiences for insurers, agents, and policyholders. Working directly with our partners and customers, you'll be engaged early in the customer lifecycle as a business analyst, technical consultant, and solutions engineer, providing product expertise, integration design, technology (platform services) consulting, and system integration testing support. Candidates with extensive Guidewire development or system integration experience are preferred, but those with experience with other core insurance systems will be considered. You'll collaborate with partners, customers, and internal teams in this position to create secure, performant, and scalable solutions. This highly consultative, technical role is ideal for someone who thrives on solving complex integration challenges and ensuring that implemented solutions deliver measurable business impact. Responsibilities: Lead complex integrations with minimal oversight, and be a trusted advisor on solution design best practices Collaborate with Implementation Project Managers to scope, size, and plan “custom” system integrations tailored to customer requirements and environments. Lead implementation discovery to fully understand the customer's business, digital payment, security, UI/UX, and integration requirements. Design solutions that align customer requirements with our EBPP platform's capabilities, ensuring the right balance between functionality, scalability, and user experience. Draft comprehensive architectural diagrams that visualize workflows, API calls, and UI/UX integration, for all in-scope use cases Collaborate with Integration Project Managers to build easily deployable “standard” integrations that accelerate delivery and promote consistency across Insurance core systems such as Guidewire, Duck Creek, Majesco, and Insurity. Maintain and enhance existing integrations to incorporate platform enhancements and address evolving market and customer needs. Education and Experience: Bachelor's degree in Computer Science, Business, or a related field. Extensive knowledge of insurance policy, billing, and claims processes, including full-lifecycle workflows and inbound/outbound payment requirements, is essential. 4+ years of experience in SaaS system integration, consulting, software development, or technical sales within the financial or insurance industries. Proven experience designing and integrating multi-vendor and line-of-business systems using both batch and real-time (using SOAP/REST APIs) architecture. Hands-on experience with modern development and productivity tools (Atlassian suite, SQL databases, Postman, Kong, Figma, Lucid, New Relic, ChatGPT); proficiency in one or more programming languages (Python, VB.NET, Java, JavaScript); familiarity with UX integration methods (redirects, iFrames, micro frontends); and strong understanding of authentication and federated identity standards (SSO, SAML, Basic Auth, OAuth). Success Profile: At InvoiceCloud, success is anchored in four core competencies-Customer Centric, Innovative, Drives Efficiency, and Takes Ownership-that guide how employees deliver with impact. Customer Centric Lead discovery with insurers, agents, and partners to map policy/billing/claims workflows and tailor integrations that improve the policyholder's payment experience. Establish responsive communication and feedback loops with stakeholders to fine-tune designs and inform future integration standards. Innovative Design modern, secure integration architectures (APIs, SSO, cloud) and continuously enhance integration frameworks to reflect evolving platform capabilities. AI/Automation: Leverage Copilot and ChatGPT to draft design specifications and test cases to accelerate delivery and enhance quality. Drives Efficiency Build and refine reusable, “standard” integrations for leading insurance cores to improve delivery speed, consistency, and scalability. Proactively identify integration risks and streamline processes across environments to reduce rework and time-to-value. Takes Ownership Provide hands-on guidance to Implementation and Integration Engineering throughout build and testing, ensuring accurate execution of designs. Operate with autonomy and sound judgment, coordinating across customers, partners, and internal teams to deliver durable outcomes. Travel Requirements: This role includes limited travel (up to 20%) for company off-sites, customer visits, and collaboration sessions with partners and internal teams. Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we'll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors. Base Compensation Range$140,000-$155,000 USD InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact *********************. Click here to review InvoiceCloud's Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

Job Description InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Job DetailsThe Senior Solutions Engineer plays a critical role in designing and delivering secure, scalable integrations between insurance core systems and the InvoiceCloud EBPP platform. This highly technical, consultative role supports insurers, partners, and internal teams throughout the integration lifecycle-leading discovery, defining solution architecture, developing workflows and API designs, and guiding execution through system integration testing. Candidates with deep Guidewire experience are strongly preferred. Familiarity with Duck Creek, Insurity, Majesco, or other insurance platforms is also valuable. This role requires autonomy, strong technical judgment, and the ability to solve complex integration challenges that improve the insurer, agent, and policyholder payment experience. Success ProfileAt InvoiceCloud, success is anchored in our core competencies. These competencies guide how every employee delivers impact across their role. Customer Centric Leads discovery sessions with insurers, agents, and partners to understand policy, billing, claims, security, and UI/UX requirements. Tailors integration designs to customer workflows, ensuring solutions enhance the overall policyholder experience. Establishes responsive communication loops with stakeholders to refine integration requirements and improve future standards. Builds trust with technical and business stakeholders by delivering clear explanations, recommendations, and documentation. Innovative Designs modern, secure, cloud-based integration architectures leveraging APIs, SSO, identity management, and EBPP platform capabilities. Continuously enhances integration frameworks to reflect platform enhancements and emerging best practices. Leverages tools like Postman, Swagger, Copilot, and ChatGPT to accelerate specification drafting, test case creation, and solution validation. Applies creativity to resolve integration constraints across insurance cores, middleware platforms, and customer environments. Drives Efficiency Builds reusable "standard" integrations for Guidewire, Duck Creek, Majesco, Insurity, and other leading insurance systems to improve delivery speed and consistency. Identifies and mitigates integration risks early, reducing rework and time-to-value. Collaborates with Project Managers, Integration Engineering, and Implementation teams to ensure clear scope, accurate estimates, and efficient delivery. Maintains clear architectural diagrams, workflow specifications, and integration documentation to support sustainable implementations. Takes Ownership Leads complex integrations with minimal oversight, driving solution quality from design through testing and deployment. Provides hands-on support during build, test, and validation, ensuring the delivered solution aligns precisely with the defined architecture. Maintains and enhances existing integrations based on platform upgrades and evolving customer requirements. Operates with strong judgment and autonomy, coordinating across customers, partners, and internal teams to deliver durable outcomes. Requirements Bachelor's degree in Engineering, Computer Science, Business, or related field Deep understanding of insurance policy, billing, and claims lifecycles and related digital payment processes 4+ years of experience in SaaS integrations, consulting, software development, or technical sales in the insurance/financial services sector Strong Guidewire experience highly preferred (PolicyCenter, BillingCenter, ClaimCenter) Experience integrating REST/SOAP APIs using tools such as Postman or Swagger Hands-on experience with modern cloud platforms (Azure preferred) Knowledge of data integration formats (JSON, XML, SQL, SFTP) Development experience in Python, Java, or .NET (VB.NET a plus) Familiarity with identity frameworks such as SSO, SAML, and OAuth Excellent written and verbal communication skills and ability to collaborate with cross-functional stakeholders Travel RequirementsLimited travel (up to 20%) for company off-sites, customer visits, and collaboration sessions with partners and internal teams. Benefits We offer a competitive benefits program including: Medical, dental, vision, life & disability insurance 401(k) plan with company match Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays Mental health resources Paid parental leave & Backup Care Tuition reimbursement Employee Resource Groups (ERGs) Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we'll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors. Base Compensation Range$140,000-$155,000 USD InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact *********************. Click here to review InvoiceCloud's Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution - Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. - Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. - Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). - Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. - Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. - Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration - Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. - Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. - Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. - Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship - Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. - Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. - Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: - Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. - Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. - Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. - Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). - Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. - Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. - Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. - Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. - Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. - Strong executive presence with the ability to translate complex architecture concepts into business language. - Experience mentoring and leading global, cross-functional teams of high-performing technical talent. - Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. \#LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. **Pay Ranges** Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for managing a group of team leaders and employees who develop strategies and drive analytics to understand portfolio risk, increase profitability, and optimize operational performance. Key responsibilities include setting strategic priorities for the team, identifying trends, and leading efforts to maximize risk versus return for the business unit. Job expectations include using data and analytics to solve complex problems, coaching and developing employees, and partnering across technology, product, and risk leadership to drive performance. We are seeking a visionary Senior Fraud Strategy Leader to join our Fraud Strategic Enablement team within Client Protection at Bank of America. This role is pivotal in helping to shape the Bank's fraud prevention strategy and investment roadmap by building /leading the program to develop strategic insights into global fraud trends (particularly AI-driven). This role will be required to be able to develop structured, industry-level assessments of risks and solutions in line with what you would expect from top-tier strategy consultants or leading research firms like Gartner. In addition to driving this proactive strategic assessment, this leader will also have accountability for selecting and driving the evaluation and testing of promising industry fraud prevention and detection tools. This is a fantastic opportunity for an experienced, strategic leader to have a direct impact on the forward-looking fraud risk management strategy at one of the world's largest banks. This position demands a blend of strategic thinking, deep fraud expertise, and executive-level influence. Responsibilities: * Establishes department-wide strategies and oversees portfolio trend analysis, forecasting, and risk/control performance * Leads innovation by identifying and championing large scale initiatives that improve the risk management, profitability, and control oversight of risks for their business unit(s) * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Coaches employees on best practices for structuring complex problems, performing analysis, and communicating the results and implications of their work * Builds and maintains strategic relationships with peers and counterparts across product, technology, and business control functions * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights * Leverage industry insights, news articles, vendor relationships, and hands-on research to developing an ongoing assessment of global fraud trends, emerging risks from AI, and how these will likely impact clients and the Bank. Create and share across the enterprise a structured framework around these risks using consulting-style frameworks and assessments. * Monitor Regulatory and Industry Developments: Stay ahead of evolving regulations, threats, and industry research, translating these into actionable strategies. * Analyzing vendor roadmaps and R&D pipelines to identify how their capabilities can proactively address evolving threats like synthetic identities, account takeover via deepfakes, or supply chain fraud in a post-quantum era. * Internally, lead knowledge-sharing programs such as executive workshops, fraud strategy forums, and innovation labs to disseminate cutting-edge insights across departments, fostering a culture of continuous learning and proactive risk awareness. * Lead the selection and evaluation of promising 3rd party solutions: * Use strategic assessment, industry intelligence, and hands on discussions and evaluations with vendors to develop a clear framework for evaluating existing vendor solutions and their applicability to emerging risks. Drive assessments and consensus on which solutions are worth further exploration and evaluation / pilots. Lead pilot programs for cutting-edge solutions while ensuring alignment with ethical AI practices and privacy standards. * Conducting comprehensive vendor due diligence and RFP (Request for Proposal) processes, evaluating offerings from leading fraud detection providers against criteria such as scalability, innovation potential, integration feasibility, and cost-effectiveness. * Lead Vendor Evaluations and Strategic Partnerships: Lead the assessment and selection of external vendors and technology partners to enhance the bank's fraud prevention capabilities, including * Facilitating proof-of-concept (POC) trials and pilot implementations to test vendor solutions in real-world scenarios, measuring performance against key metrics like false positive rates, detection accuracy, and adaptability to regulatory changes Required Qualifications: * 10+ years in fraud strategy, risk management, or related fields within financial services, consulting, or research environments. * Bachelor's degree in Business, Engineering, Finance, Computer Science, or a related field Desired Qualifications: * Master's degree (e.g., MBA) or equivalent professional certifications preferred. * Proven track record in executive-level strategy roles at a tier 1 consulting firm, or a major Financial Services institution. * Deep expertise in fraud trends, including cyber threats, insider risks, and emerging technologies. * Strong analytical skills with proficiency in data modeling, scenario planning, and strategic frameworks. * Executive Level Influence: Ability to collaborate internally and externally at the executive and expert-levels to develop new insights, socialize impacts, and build advocacy and awareness. * Ability to navigate ambiguity in a complex environment, balancing strategic vision with tactical execution. Skills: * Strategic Thought Leadership * Business Analytics * Data and Trend Analysis * Fraud Management * Problem Solving * Artificial intelligence / Machine Learning * Innovative Thinking * Statistical Design of Experiments and Solution Testing * Presentation Skills * Risk Management * Oral and Written Communications It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Shift: 1st shift (United States of America) Hours Per Week: 40

Charlotte, North Carolina;Plano, Texas; Richmond, Virginia; Sun City West, Arizona; Boston, Massachusetts; Chandler, Arizona; Tampa, Florida; Chicago, Illinois; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona; Chandler, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (************************************************************************************************************************************************************* **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary:** This job is responsible for managing a group of team leaders and employees who develop strategies and drive analytics to understand portfolio risk, increase profitability, and optimize operational performance. Key responsibilities include setting strategic priorities for the team, identifying trends, and leading efforts to maximize risk versus return for the business unit. Job expectations include using data and analytics to solve complex problems, coaching and developing employees, and partnering across technology, product, and risk leadership to drive performance. We are seeking a visionary Senior Fraud Strategy Leader to join our Fraud Strategic Enablement team within Client Protection at Bank of America. This role is pivotal in helping to shape the Bank's fraud prevention strategy and investment roadmap by building /leading the program to develop strategic insights into global fraud trends (particularly AI-driven). This role will be required to be able to develop structured, industry-level assessments of risks and solutions in line with what you would expect from top-tier strategy consultants or leading research firms like Gartner. In addition to driving this proactive strategic assessment, this leader will also have accountability for selecting and driving the evaluation and testing of promising industry fraud prevention and detection tools. This is a fantastic opportunity for an experienced, strategic leader to have a direct impact on the forward-looking fraud risk management strategy at one of the world's largest banks. This position demands a blend of strategic thinking, deep fraud expertise, and executive-level influence. **Responsibilities:** + Establishes department-wide strategies and oversees portfolio trend analysis, forecasting, and risk/control performance + Leads innovation by identifying and championing large scale initiatives that improve the risk management, profitability, and control oversight of risks for their business unit(s) + Identifies business trends based on economic and portfolio conditions and communicates findings to senior management + Coaches employees on best practices for structuring complex problems, performing analysis, and communicating the results and implications of their work + Builds and maintains strategic relationships with peers and counterparts across product, technology, and business control functions + Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance + Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics + Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights + Leverage industry insights, news articles, vendor relationships, and hands-on research to developing an ongoing assessment of global fraud trends, emerging risks from AI, and how these will likely impact clients and the Bank. Create and share across the enterprise a structured framework around these risks using consulting-style frameworks and assessments. + Monitor Regulatory and Industry Developments: Stay ahead of evolving regulations, threats, and industry research, translating these into actionable strategies. + Analyzing vendor roadmaps and R&D pipelines to identify how their capabilities can proactively address evolving threats like synthetic identities, account takeover via deepfakes, or supply chain fraud in a post-quantum era. + Internally, lead knowledge-sharing programs such as executive workshops, fraud strategy forums, and innovation labs to disseminate cutting-edge insights across departments, fostering a culture of continuous learning and proactive risk awareness. + Lead the selection and evaluation of promising 3rd party solutions: + Use strategic assessment, industry intelligence, and hands on discussions and evaluations with vendors to develop a clear framework for evaluating existing vendor solutions and their applicability to emerging risks. Drive assessments and consensus on which solutions are worth further exploration and evaluation / pilots. Lead pilot programs for cutting-edge solutions while ensuring alignment with ethical AI practices and privacy standards. + Conducting comprehensive vendor due diligence and RFP (Request for Proposal) processes, evaluating offerings from leading fraud detection providers against criteria such as scalability, innovation potential, integration feasibility, and cost-effectiveness. + Lead Vendor Evaluations and Strategic Partnerships: Lead the assessment and selection of external vendors and technology partners to enhance the bank's fraud prevention capabilities, including + Facilitating proof-of-concept (POC) trials and pilot implementations to test vendor solutions in real-world scenarios, measuring performance against key metrics like false positive rates, detection accuracy, and adaptability to regulatory changes **Required Qualifications:** + 10+ years in fraud strategy, risk management, or related fields within financial services, consulting, or research environments. + Bachelor's degree in Business, Engineering, Finance, Computer Science, or a related field **Desired Qualifications:** + Master's degree (e.g., MBA) or equivalent professional certifications preferred. + Proven track record in executive-level strategy roles at a tier 1 consulting firm, or a major Financial Services institution. + Deep expertise in fraud trends, including cyber threats, insider risks, and emerging technologies. + Strong analytical skills with proficiency in data modeling, scenario planning, and strategic frameworks. + Executive Level Influence: Ability to collaborate internally and externally at the executive and expert-levels to develop new insights, socialize impacts, and build advocacy and awareness. + Ability to navigate ambiguity in a complex environment, balancing strategic vision with tactical execution. **Skills:** + Strategic Thought Leadership + Business Analytics + Data and Trend Analysis + Fraud Management + Problem Solving + Artificial intelligence / Machine Learning + Innovative Thinking + Statistical Design of Experiments and Solution Testing + Presentation Skills + Risk Management + Oral and Written Communications _It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. _ **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Alumni Ventures is one of the world's most active venture capital platforms, with $1.4B+ in assets raised and investments in 1,300+ companies. Our network of 850,000+ members and 40+ dedicated investors connects accredited individuals to high-quality venture deals-typically reserved for institutions-through our alumni-driven communities and diversified co-investment strategy. With offices in Boston, New York, Chicago, Menlo Park, and Manchester, NH, we're rapidly growing and committed to fueling entrepreneurial success while developing the next generation of VC professionals. About the Role Alumni Ventures operates a scaled, technology-enabled venture platform rather than a traditional VC model. Our engineering team builds and operates the systems that power investment tracking, portfolio analytics, and new financial products. The team is small and fast moving, and engineers own problems end to end with direct visibility into how their work is used by investors and founders. You will work across the stack, from APIs and data pipelines to investor-facing UI, while building mission-driven tools that support real investments in innovative startups. This is a hybrid role with an expectation of T/W/Th in the office. What You'll Do Design, build, and ship features across the platform, including investor dashboards and internal workflow automation. Solve complex problems in data modeling, system design, API development, and third-party integrations, with an emphasis on scalability and reliability. Use AI tools to accelerate development while maintaining full accountability for code comprehension, quality, and security. Contribute to a culture of curiosity, ownership, and continuous improvement. Who You Are A Master's degree in Computer Science (or related field) or a Bachelor's plus 2 to 3 years of professional software engineering experience. A deep understanding of algorithms, data structures, databases, and how to apply them to real-world problems. Proficient in Python and/or JavaScript (both is a plus; mastery of at least one is required). You care about code quality, readability, and maintainability. Leverage AI to increase velocity while critically reviewing and improving generated code. Proactive in identifying problems, proposing solutions, and driving them to completion. Comfortable with ambiguity and motivated by hard problems and building from the ground up. Compensation range of $90,000 - $130,000 plus equity and corporate bonus. Our benefits include Medical, Dental, Vision, 401k match, HSA, FSA, Life Insurance, Pet Insurance, Flexible PTO, and Parental Leave as well as career development. All employment is subject to passing a background check. Alumni Ventures is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. Please review our Privacy Policy.