Quant Analytics Executive Director - Card Data Analytics

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.Job DescriptionYou can shape how customers experience lendingâfrom what they see and qualify for, to how they manage repayment and stay on track over time. You will lead a high-impact analytics function that connects customer journeys, product strategy, and risk-adjusted economics. Join us to build scalable, data-driven decisioning that improves both customer outcomes and portfolio performance.As an Executive Director â Lending & Installment Analytics at JPMorganChase within Lending and Installment Analytics, you will lead enterprise analytics that informs what to offer, to whom, when, and through which experience. You will partner across Product, Marketing, Risk, Finance, and Operations to drive clear priorities, measurable results, and responsible use of advanced analytics. You will bring strong leadership and storytelling to influence decisions, align stakeholders, and scale impact.Job ResponsibilitiesLead the Lending and Installment Analytics team to deliver insights and decisioning that optimize portfolio growth, customer value, and credit performance across installment and revolving lendingBuild orchestration frameworks that unify channel, product, and lifecycle decisioning to enable consistent ânext best actionâ and ânext best productâ recommendations across key touchpointsTranslate customer journey insights into product strategy by mapping end-to-end journeys (origination through retention) and identifying friction, drop-offs, and value momentsPartner with Product, Marketing, Risk, Finance, and Operations to set a shared analytics vision and deliver against strategic priorities across growth, engagement, losses, economics, and customer experienceDrive product economics and financial modeling, including contribution margin, cohort economics, lifetime value, loss forecasting, and sensitivity analysis to inform investment decisionsDefine modeling strategy and guide teams building propensity, uplift, eligibility, and lifecycle behavior models with strong validation, monitoring, and governanceGuide lifecycle targeting and decisioning (pre-origination through servicing) across approval and eligibility, line assignment, pricing, term selection, and retention strategiesScale experimentation in partnership with a testing center of excellence by defining hypotheses, test design, success metrics, and causal measurement approachesEstablish best-in-class measurement approaches (attribution and incrementality) appropriate for lending contexts to separate true lift from correlationBuild robust reporting and governance by defining objectives and key results (OKRs), standardizing metric definitions, enabling self-serve dashboards, and running recurring business reviewsOperationalize insights through decision engines, real-time personalization, and optimization while ensuring responsible use and strong model risk management practicesRequired Qualifications, Capabilities, And Skills8+ years of experience in analytics, data science, or quantitative strategy roles within lending, credit, or consumer financial products5+ years of experience leading and developing high-performing analytics teams, including people leadership and talent developmentDemonstrated experience driving portfolio growth and credit performance using data-driven decisioning across the customer lifecycleDemonstrated ability to translate customer journey insights into product strategy and prioritized roadmaps with measurable outcomesDemonstrated experience with experimentation design and causal measurement, including hypothesis development, test design, and evaluationDemonstrated experience building and using product economics models (for example, contribution margin, cohort economics, lifetime value, and loss forecasting) to support investment decisionsDemonstrated experience partnering cross-functionally with Product, Marketing, Risk, Finance, and Operations to deliver shared outcomesStrong executive communication skills, including structured tradeoffs, clear recommendations, and crisp storytelling grounded in dataWorking knowledge of model governance, monitoring, and responsible use expectations for analytics in regulated environmentsPreferred Qualifications, Capabilities, And SkillsExperience building ânext best actionâ and personalization decisioning across multiple channels and servicing touchpointsExperience with real-time decisioning systems, optimization approaches, and measurement frameworks for incremental impactExperience modernizing analytics reporting and enabling self-service insights through standardized metrics and dashboardsAdvanced degree in a quantitative field (for example, statistics, economics, computer science, engineering, or mathematics)ABOUT USChase 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/VeteransAbout The TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions â all while ranking first in customer satisfaction.The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.