Senior Data Scientist jobs at Citizens Financial Group - 28 jobs

JobID: 210677581 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $142,500.00-$210,000.00 Transform business challenges into data-driven solutions-your insights will fuel growth and competitive advantage. As a Data Scientist on the Commerce Payments product team, you'll be responsible for identifying, developing, and executing data and analytics solutions for embedded payments, including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product, Technology, Operations, and Risk) to deliver actionable insights and support data-driven decision-making. Job Responsibilities * Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions. * Lead the design, development, and implementation of advanced analytics solutions, including dashboards, predictive models, and reporting tools. * Communicate analytics findings and recommendations to quad partners and other stakeholders. * Build strong relationships across Product, Technology, Design, and Risk teams to ensure alignment and impact. * Manage, mentor, and develop junior analytics team members, fostering a collaborative and high-performance culture. * Ensure data integrity and quality in all analytics deliverables. * Partner with Technology and Data teams to maintain secure and compliant data practices. * Stay current with analytics best practices, tools, and industry trends. * Identify opportunities to enhance analytics processes and methodologies. Required Qualifications, Capabilities, and Skills * Bachelor's or Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field. * 6+ years of experience in analytics, data science, or business intelligence, with at least 2 years in a people management or team lead role. * Proficiency in analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI). * Experience supporting product teams * Strong communication and stakeholder management skills. * Demonstrated ability to lead and develop analytics team members. This role is not eligible for visa sponsorship or relocation assistance

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. **Job Responsibilities** + Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. + Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. + Translate complex data into clear, actionable insights that inform strategic decisions. + Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. + Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. + Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. + Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. + Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. **Required qualifications, capabilities, and skills** + Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. + Strong background in Python and SQL. + Proficient in Microsoft Office suite of products. + Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. + Ability to synthesize diverse information and develop actionable recommendation. + Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. + Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. **Preferred qualifications, capabilities, and skills** + MS degree preferred Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

JobID: 210704130 JobSchedule: Full time JobShift: : Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: * Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps * Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints * Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams * Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget * Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : * 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics * Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets * Excellent structured and unstructured problem solving skills * Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences * Able to manage multiple concurrent projects in a fast-paced environment * Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : * MBA or Master's Degree with a quantitative focus * Familiarity with design of experiment methods * Work experience in the financial sector or other business environment

Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: + Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps + Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints + Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams + Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget + Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : + 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics + Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets + Excellent structured and unstructured problem solving skills + Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences + Able to manage multiple concurrent projects in a fast-paced environment + Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : + MBA or Master's Degree with a quantitative focus + Familiarity with design of experiment methods + Work experience in the financial sector or other business environment Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred

JobID: 210688363 JobSchedule: Full time JobShift: Day : Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. Job Responsibilities: * Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. * Build and maintain APIs to enable seamless integration of AIML models with business applications. * Use your programming skills in Python and design integrated solutions using the latest technology. * Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. * Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. * Build and iterate on prototype solutions. * Develop robust, production-ready code for AIML models and analytical applications. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Demonstrated knowledge of data architecture that is ideal for generative AI solutions. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking “why” and “what if,” and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. Translate complex data into clear, actionable insights that inform strategic decisions. Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. Strong background in Python and SQL. Proficient in Microsoft Office suite of products. Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. Ability to synthesize diverse information and develop actionable recommendation. Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills MS degree preferred

Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets Excellent structured and unstructured problem solving skills Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences Able to manage multiple concurrent projects in a fast-paced environment Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : MBA or Master's Degree with a quantitative focus Familiarity with design of experiment methods Work experience in the financial sector or other business environment

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

ABOUT THE JOB (JOB BRIEF) Under manager's supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. ESSENTIAL JOB FUNCTIONS Under manager's oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Document model development process and outcomes properly and support model validation and review Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners REQUIRED QUALIFICATIONS Master's or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing Knowledge of financial crime regulatory requirements, technology, and data analysis best practices Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/22/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_**********************. #LI-Hybrid

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities. * We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions. * We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks Key Responsibilities and Experience: * Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery * Machine learning model solution design, build, orchestration and implementation * Experience building solutions with model governance, risk management, and regulatory adherence at top of mind * Substantial experience implementing production AI/ML solutions. * Continuous support of models deployed to production applications * Release planning, coordination, and hands on support throughout release windows * Experience with production implementations that leverage generative AI and LLMs a plus PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. * Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. * Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. * Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Artificial Intelligence (AI), Competitive Advantages, Consultation, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Model Governance, Solution Building Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $165,370.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 07/01/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

As a Principal Data Scientist, you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes. Key Responsibilities * Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes. * Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment. * Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation. * Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable. * Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications. * Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization. * Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams. Qualifications * Required: * 7+ years of experience in data science, machine learning, or applied AI. * Proven experience applying Generative AI and LLMs in production or pilot environments. * Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.). * Deep understanding of NLP techniques and their practical applications. * Experience working with unstructured data and integrating AI solutions into business workflows. * Strong communication and leadership skills, including technical writing and stakeholder engagement. * Preferred: * Experience with prompt engineering, model evaluation, and LLM orchestration. * Familiarity with cloud platforms and MLOps tools. * Experience interacting with model validation teams and regulators. Education * Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule * Hours per Week: 40 * Work Schedule: Monday - Friday * Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. Benefits We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. View Benefits Awards We've Received Age-Friendly Institute's Certified Age-Friendly Employer The Banker's US Bank of the Year Dave Thomas Foundation's Best Adoption-Friendly Workplace Disability:IN Best Places to Work for Disability Inclusion Human Rights Campaign Corporate Equality Index 100 Award

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities:** + Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing + Understand PySpark or distributed data processing frameworks + Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases + Have Experience with Airflow on MWAA, Astronomer or Kubernetes + Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda + Working knowledge of Terraform for infrastructure automation + Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. + Possess Ability to query and manage open-table format datasets. + Designing and optimizing ETL/ELT pipelines. + Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. + Utilize Experience with version control like GIT, testing frameworks, and code reviews **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 3+ years of applied experience + Proficiency in Python/Java technology + Hands-on practical experience in system design, application development, testing, and operational stability + Proficient in coding in one or more languages such as Python/Java + Experience in building solutions using cloud technologies like AWS + Exposure to message streaming technologies such KAFKA/FLINK + Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. + Overall knowledge of the Software Development Life Cycle + Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security + Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

JobID: 210694296 JobSchedule: Full time JobShift: : This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: * Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing * Understand PySpark or distributed data processing frameworks * Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases * Have Experience with Airflow on MWAA, Astronomer or Kubernetes * Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda * Working knowledge of Terraform for infrastructure automation * Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. * Possess Ability to query and manage open-table format datasets. * Designing and optimizing ETL/ELT pipelines. * Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. * Utilize Experience with version control like GIT, testing frameworks, and code reviews Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years of applied experience * Proficiency in Python/Java technology * Hands-on practical experience in system design, application development, testing, and operational stability * Proficient in coding in one or more languages such as Python/Java * Experience in building solutions using cloud technologies like AWS * Exposure to message streaming technologies such KAFKA/FLINK * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark. Hands-on experience with data lake platforms (Databricks, Spark, or similar). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration and modernization. Excellent problem-solving and troubleshooting skills. Strong communication and documentation abilities. Ability to collaborate effectively with business and technical stakeholders.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Customer Acquisition and Marketing Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Design, develop, and optimize ETL pipelines for large-scale, complex data environments using Spark or similar framework Develops secure high-quality production code, and reviews and debugs code written by others Work in an Agile development environment with team members, including Product Owners and Data Owners Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end-to-end development life cycle Ensure quality and completeness of the product through unit, component, integration, and end-to-end testing Influence peers and project decision makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 5+ years of hands-on experience in Java, Spring and Spring Boot 2+ years of hands-on experience with AWS especially Terraform, ECS, and Lambda 2+ years of hands-on experience with databases (MySQL, PostgreSQL, Cassandra) and above average with database fundamentals - can write complex queries, understands how to organize data, and troubleshoot performance issues Proven experience in data management, ETL pipeline development, and data processing Understand next generation messaging and streaming technologies such as Kafka Strong understanding of data quality, security, and lineage best practices Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight Hands-on practical experience delivering system design, application development, testing, and operation stability Excellent problem solving and analytical skills with strong customer focus Strong verbal and written communication skills Preferred qualifications, capabilities, and skills Experience with cloud-based data warehouse migration and modernization Experience using Snowflake, Databricks or a similar PaaS offering Strong Python experience, especially in the context of developing Data solutions for large financial platforms Experience with Agentic technologies including design and implementation of production-grade solutions

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorgan Chase within the Consumer and Community Banking and Data Technology, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Develops secure high-quality production code, and reviews and debugs code written by others Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives Implement best practices for data engineering, ensuring data quality, reliability, and performance Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows Perform data extraction and implement complex data transformation logic to meet business requirements Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects Monitor and executes data quality checks to proactively identify and address anomalies Ensure data availability and accuracy for analytical purposes Communicate technical concepts to both technical and non-technical stakeholders Required qualifications, capabilities, and skills Experience with ETL tools like Ab Initio, Informatica, Data Pipeline and workflow management tools (Airflow, etc.) Strong hands on coding experience with PySpark, Python and AWS Experience working with modern Data Lakes : (Snowflake, Databricks etc.) Hands-on practical experience delivering system design, application development, testing, and operational stability Very strong problem solving skills Proficiency in automation and continuous delivery methods Preferred qualifications, capabilities, and skills Advanced in one or more programming language(s) like SQL, Java etc Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Proven leadership and mentoring experience with varying levels of software engineers