Programming Engineer jobs at S&P Global - 2362 jobs

A leading financial services company in San Francisco is looking for a Senior Workday HCM Integration Engineer. The role includes providing expert support for Workday functionalities, optimizing reports, and ensuring smooth integration with third-party services. Candidates should hold a Bachelor's degree and have over 5 years of relevant experience. A full-time telecommuting option is available, and a competitive salary ranging from $213,512 to $234,863 per year is offered. #J-18808-Ljbffr

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

This position is accountable for planning, directing, and coordinating activities of designated project to ensure that goals or objectives of project are accomplished within prescribed time frame and funding parameters by performing the following duties personally or through subordinates, if applicable. The incumbent must have the ability and flexibility to work varying shifts, long hours (8-12 hours) and weekend hours according to project needs. The incumbent must support the guiding beliefs and core values of Orion, which are centered on Safety, Quality, Delivery, and Teamwork most importantly, with each built upon the all-important foundation of Integrity. SPECIFIC RESPONSIBILITIES Assists in the preparation and planning of pre-job meetings (examples: plans, specification, budgets, cost targets, scheduling, and others as necessary). Assists Project Manager(s) in the management of all assigned jobs. Reviews & processes shop drawings and submittals (including those from subcontractors), checking for accuracy when compared to drawings and specifications. Distributes all drawing revisions to Project Manager(s), Superintendent(s) and Subcontractors; and request new shop drawings from suppliers and subcontractors as necessary to match revisions. Prices all drawing revisions and Field Extra Work Tickets; review with Project Manager(s) and submit to General Contractor or client; update stick set and drawing log with each revision received. Maintains the RCO log and PM Submittal Log for each assigned project. Keeps all project schedules updated with actual durations for each task as compared to the original Base-Line Schedule; document all applicable delays (weather, GC, suppliers, others). Orders, ensures timely delivery, and reviews accuracy of materials such as rebar, shoring, forming, and post-tensioning. Contacts the Superintendent(s) on assigned job(s) frequently and visit job site(s) regularly to identify problems and assist in reaching solutions. Approves and codes assigned invoices, as requested by project manager. Tracks Manhours & Job Cost for all assigned jobs weekly. Meets with Superintendents to identify target cost to complete job under budget. Assists Project Manager(s) with End of Month Financial Reports for all assigned jobs. Prepares project reports for management, client, or others. Coordinates project activities with activities of government regulatory or other governmental agencies. All employees, current and former, must maintain confidentiality by not disclosing to others any confidential, proprietary or trade secret information belonging to the Company. EMPLOYEE SAFETY AND COMPLIANCE Responsible and accountable for incumbent's own personal safety. Responsible and accountable for the safety of all co-workers and any others incumbent encounters. Authorized and obligated to stop work on any task or series of tasks whenever an unsafe condition or situation is anticipated or is observed. Complies with all applicable laws, regulations and Company policies and procedures, and is subject to appropriate disciplinary action (including dismissal) for failure to do so. Reports violations of applicable laws, regulations or Company policies and procedures promptly, and is subject to appropriate disciplinary action (inluding dismissal) for failure to do so. Performs other related administrative and technical duties as may be assigned or requested by immediate supervision (such as certification training, safety training, procedure review, etc.). POSITION REQUIREMENTS A minimum of (1) year of construction related experience. BS Degree in Construction Management required or related discipline and field experience in commercial concrete construction, or equivalent combination of education and experience. In addition, the incumbent must have: Working knowledge of Project Engineer functions. Excellent computer skills including MS Office (Excel, Word, PowerPoint), MS Project, Adobe, construction drawings software (i.e., PlanGrid), and ability to learn new software systems as required for the position. Outstanding verbal and written communication skills with the ability to interact with employees at all levels, clients, vendors, and suppliers. Strong leadership skills with the ability to work well under pressure and high stress situations. Ability to manage multiple projects, meet tight deadlines, and adapt to changing work priorities. Problem solving, critical thinking, and analytical skills for project efficiency. Ability to work in different weather conditions (heat, cold, etc.) and office settings (office, trailer at the field, etc.). The Company expects and requires incumbent and each of its other employees to observe and fulfill the above and all other safety responsibilities and actively work toward maintaining a safe workplace. Failure to do so can result in disciplinary action, up to and including termination of employment. PHYSICAL/MENTAL REQUIREMENTS The incumbent must be able to perform the essential functions of the job with or without reasonable workplace accommodation. The individual must also be able to wear and properly utilize appropriate personal protective equipment (PPE) to work or visit within areas where it is required. This includes hard hat, safety glasses, respirators, ear plugs, steel toed shoes, or other protective equipment as required by the work performed and location the work is being done. This individual must also have the ability to identify critical issues and formulate action plans with all levels of management, including corporate and executive. The incumbent must possess the ability to remain calm during emergencies and respond appropriately as dictated by the circumstance of the incident and as directed by the Safety Representative or other management personnel. Must be capable of evacuating the work area in a timely manner should an emergency situation arise. Compensation & Benefits: An excellent compensation and benefits package is offered. Benefit plans include: Medical, including Prescription Drugs Dental Vision Life and AD&D Insurance Short Term and Long-Term Disability Insurance Employee Assistance Plan 401(k) Retirement Plan Paid Time Off for Vacation, Sick, Holidays, Jury Duty and Bereavement Leave Pre-Tax Health and Dependent Care Flexible Spending Accounts Career Growth & Development

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact to expand opportunities and achieve positive outcomes. The Investment Engineering team is responsible for developing Portfolio Management and Trading capabilities that support Apollo's complex and unique trading strategies. The team is closely embedded with portfolio managers, traders, and partners cross-functionally to enable the successful design and execution of critical infrastructure. This team is hiring a Head of Credit Engineering for its New York trading technology team, to lead the build-out of the next generation of credit trading strategies. This position will play a crucial role in guiding and coordinating the team's efforts to deliver high-quality software solutions to the trading desk and will be responsible for managing a team of developers and engineers and will report to the head of Investment Engineering. As the Head of Credit Engineering, you will lead the design, development, and deployment of quantitative, modeling, and credit infrastructure systems that enable underwriting, monitoring, and valuation across the credit platform. You will act as the technical anchor between investment, risk, portfolio, and operations teams, driving automation, analytics, and scalable engineering in support of credit decisions and portfolio management. Primary Responsibilities: * Set technical vision and roadmap for credit analytics, underwriting, portfolio stress testing, scenario simulation, and monitoring systems. * Lead, mentor, and grow a team of credit quants, data engineers, software engineers, and model validators. * Oversee the development of cash flow/default/recovery models, scenario engines, and sensitivity analyses. * Build and maintain data pipelines (ETL), integration with external sources (financial data, market data, third-party vendor inputs). * Architect and scale systems for post-investment monitoring: covenant tracking, early-warning alerts, breach analytics, migrations, etc. * Ensure system reliability, performance, maintainability, security, and auditability. * Validate/benchmark/monitor internal and external models; ensure robust governance. * Collaborate with credit/underwriting teams to translate business requirements into technical specs. * Provide analytics/insights for portfolio teams: stress loss attribution, exposure/concentration metrics, scenario breakdowns. * Present technology & model strategies to senior leadership, investment committees, and possibly investors. * Oversee cross-functional integration: legal, compliance, operations, accounting, risk. * Drive innovation: evaluate and integrate machine learning / AI / alternative data / advanced analytics where appropriate. * Build and maintain relationships with senior executives to develop a clear understanding of business needs; ensure delivery of the credit engineering organization to meet needs and respond with agility to changing business priorities. * Work with business sponsors, develop business case justifications and cost/benefit analyses for credit engineering spending and initiatives. Coordinate and facilitate consultation with stakeholders to define business and systems requirements for technology implementations. * Attract, retain, and develop top talent. Build pipeline of talent within enterprise solutions technology including own succession options. Upskill the team on critical capabilities. * Accelerate the development of high potential individuals by providing timely constructive feedback and mentorship. * Encourage collaboration and engagement while continually upskilling the investment engineering organization. * Ensure the culture is highly collaborative, inclusive, and accountable. Qualifications & Experience This individual must have high IQ and EQ and be viewed as an effective business partner by their respective business peers and across the Apollo leadership team. * Strong technical prowess and the ability to flex between strategic and hands-on and be in the details with regards to technical acumen and depth. * An "offense minded" leader; not focused purely on utility delivery and strong ability to balance playing offence with playing "defense." A forward-thinking change agent with a track record of leveraging emerging technology to improve workflow and drive the business forward. * Experience managing a function with multiple interdependencies within a complex global organization. * A high level of market sophistication and broad knowledge in private and public markets investing. * Bachelor's degree required in relevant field (engineering, computer science, etc.). Master's degree preferred. * 15+ years of experience (or equivalent senior technical leadership) in credit modeling, credit risk, structured finance, or quantitative engineering. * Strong programming skills (Python, SQL, and at least one compiled language or well-engineered stack). * Experience in data engineering, large-scale systems, distributed computing, pipeline design, APIs. * Deep domain knowledge of credit, default/recovery modeling, scenario analysis, cash flow modeling, term structure, structural modeling. * Experience in structured finance (e.g., ABS, CLO, SBLC, securitization) or alternative credit is a strong plus. * Excellent communication skills; ability to present complex technical concepts to non-technical senior stakeholders. * Familiarity with governance, validation, regulatory requirements related to credit modeling is desirable. * Strong project management and delivery skills in ambiguous, fast-moving environments. * Lead a team of full-stack developers, providing guidance, support, and mentorship to ensure the successful delivery of software to the desk. * Usher software builds through requirements gathering, design, hands-on development, testing, and production deployment. * Strong hands-on software experience in developing and a proven track record of delivering full-stack cloud-based applications. * Demonstrated ability to build and deploy microservices in a scalable high throughput workflow. * Experience with messaging systems across applications stack (e.g., Kafka). * Experience with both server-side development (e.g., Python, Node.js) and JavaScript/TypeScript front-end development (e.g., Angular, React, Vue). * Comfortable working in an agile software delivery environment with Git and with exposure to CI/CD tools (e.g., Docker, Jenkins, GitLab). * Passion for clean, maintainable code and always looking to improve engineering skills in fast-paced, ambiguous environments * Lead by example, fostering a collaborative and inclusive team environment, promoting knowledge sharing and encouraging professional growth and development. Pay Range $300,000 - $350,000 Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity. The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law. The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered. The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.

* Bachelor's degree* At least 10 years of experience designing and building data-intensive solutions using distributed computing* At least 6 years of experience programming in C, C++, Python, or Scala* At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting* Master's Degree* 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models* 2+ years of experience using Dask, RAPIDS, or in High Performance Computing* 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)* Ability to communicate complex technical concepts clearly to a variety of audiences* ML industry impact through conference presentations, papers, blog posts, or open source contributions* Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

Job Family IT - General About Us At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests. Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there. Who We Are We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life. Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them. We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms. What We Do Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs. Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com. Summary As a Senior Platform Engineer, you will help to design, build, and maintain software platforms. You will be responsible for configuring and customizing the platform to meet the organization's needs, developing and maintaining applications, workflows, and integrations, and ensuring the platform's stability, security, and performance. Additionally, you will collaborate with stakeholders to gather requirements, build out solution designs, and ensure the scalability and efficiency of platform architectures. This role involves automating tasks to improve efficiency and troubleshooting technical issues to ensure successful implementation and utilization of the platform. Your efforts will enable the organization to streamline processes, improve service delivery, and enhance overall productivity. Responsibilities Design, develop, implement, and manage software platforms, including applications, workflows, integrations, and cloud infrastructure. Collaborate with stakeholders to gather requirements, build solution designs, and ensure scalability, resiliency, and efficiency of platform architectures. Ensure the security of the platform and the data it handles, implementing security controls to protect sensitive data and prevent unauthorized access. Develop and implement platform strategies to improve efficiency through automation and enhance user and developer experience. Monitor system performance and health, troubleshoot technical issues, and provide technical support for cloud-based services. Create system guidelines, process documentation, and training materials for the organization. Install, upgrade, and maintain underlying infrastructure, enabling systems with automated monitoring and alerting. Understand and respond to emerging requirements and ambiguous technology decisions. Design, implement and deliver cloud-based solutions at scale for a global organization supporting multiple entities, tailored to meet organizational needs, and support technology stack refresh when required, with security and process as a critical requirement. Manage IT and business unit projects related to collaboration solutions, including acquisitions, divestitures, and migrations. Qualifications Bachelor's degree in computer science, Information Technology, a related field or equivalent education/experience and 5-7 years of related work experience Experience with automation development and scripting tools Proven ability to write and interpret code (Python, JSON, YAML, PowerShell, Terraform, Azure Bicep) Proven ability to deliver Infrastructure as Code (ARM templates, Azure Bicep, Terraform, CloudFormation) Ability to scan and resolve code standardization issues Proven experience as a Platform Engineer or similar role (i.e. M365, AWS or Azure Engineer). Strong understanding of cloud technologies, DevOps processes and automation of services. Proficiency with modern platform container concepts (i.e. Docker and Kubernetes). Experience with CI/CD tools and practices (Harness, GitHub, Snyk, Nexus, SonarQube, Kubernetes). Experience with Cloud Deployment Automation and Orchestration tools (PowerShell, Ansible, Chef, Puppet, Azure DevOps, CodeBuild/CodePipeline/CodeDeploy, Step Functions) Demonstrated strong understanding of API's and API Security Demonstrated ability in automated code testing. Excellent problem-solving skills, ability to research new solutions, and attention to detail. Proven ability to apply critical thinking to business demands. Strong communication and collaboration skills. Holistic understanding of the internet and hosting from the network layer up through the application layer. Flexibility and adaptability to change, and continuous learning mindset. Preferred Qualifications Experience with infrastructure as code (IaC) . Familiarity with monitoring and logging tools. Knowledge of security best practices in platform engineering. Certifications in cloud platforms (GCP, AWS, Azure, M365). Working Conditions On call may be required Hybrid/Office environment. Minimal travel. This is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request. Compensation The Salary for this position generally ranges between $112,000 - $130,00 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, IA; Philadelphia, PA; Denver, CO). Relocation assistance will not be provided for this position. What We Offer For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees. Compensation Benefits * Competitive Pay * Bonus for Eligible Employees Benefits Package * Pension Plan * 401k Match * Employee Stock Purchase Plan * Tuition Reimbursement * Disability Insurance * Medical Insurance * Dental Insurance * Vision Insurance * Employee Discounts * Career Training & Development Opportunities Health and Work/Life Balance Benefits * Paid Time Off starting at 160 hours annually for employees in their first year of service. * Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays). * Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars * Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. * Adoption Assistance * Employee Assistance Program * College Coach Program * Back-Up Care Program * PTO for Volunteer Hours * Employee Matching Gifts Program * Employee Resource Groups * Inclusion and Diversity Programs * Employee Recognition Program * Referral Bonus Programs Inclusion & Diversity We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women. To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all. Giving Back We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work. Transamerica's Parent Company Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity. * As of December 31, 2023

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A leading HR technology firm located in San Francisco is looking for a Head of Technical Recruiting. In this high-impact role, you will lead a team of 20 and partner with top engineering leaders to shape hiring strategies that support growth. With an emphasis on fostering an inclusive workplace, you'll leverage innovative tools and data-driven insights to attract diverse technical talent. The position offers a competitive salary ranging from $229,785 to $283,402 annually in the Bay Area. #J-18808-Ljbffr

A leading HR technology firm located in San Francisco is looking for a Head of Technical Recruiting. In this high-impact role, you will lead a team of 20 and partner with top engineering leaders to shape hiring strategies that support growth. With an emphasis on fostering an inclusive workplace, you'll leverage innovative tools and data-driven insights to attract diverse technical talent. The position offers a competitive salary ranging from $229,785 to $283,402 annually in the Bay Area. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr