Head of CCB Auto and Business Banking Portfolio Risk Modeling

JOB DESCRIPTION Lead a global team of quantitative experts to design, deliver, and govern best‑in‑class predictive models that power valuation, credit reserving, stress testing, budgeting, and risk assessment for CCB’s Auto and Business Banking lending portfolios. You will own the end‑to‑end modeling lifecycle and translate model insights into actions that shape portfolio strategy and risk outcomes. The CCB Portfolio Risk Modeling Center of Excellence brings together economists, statisticians, mathematicians, and analytics professionals to quantify and manage lending risks across Consumer & Community Banking. The team applies advanced methods to one of the world’s largest consumer lending datasets, partnering across JPMC to assess, measure, and manage critical risks across CCB portfolios. Job Responsibilities Lead and develop a high‑performing global team building predictive risk models for CCB’s Auto and Business Banking lending portfolios. Own the end‑to‑end modeling lifecycle (data sourcing, design, estimation, validation readiness, implementation, deployment, performance monitoring, and periodic recalibration). Ensure compliance with Firmwide model risk management standards and applicable regulatory expectations (e.g., SR 11‑7/OCC 2011‑12), with strong documentation, controls, and audit readiness. Deliver clear, decision‑useful insights based on models and scenario analyses that inform credit strategy, reserving (e.g., CECL), stress testing, portfolio valuation, and budgeting. Advance the modeling roadmap by modernizing data pipelines, feature engineering, and model operations practices; drive process efficiency and reproducibility. Partner with Product, Risk, Finance, Technology, and Model Risk teams to align models with business objectives and ensure robust change management and governance. Establish model monitoring frameworks, performance thresholds, and action plans; proactively identify model, data, or process risks and drive remediation. Recruit, mentor, and retain talent; promote a culture of scientific rigor, delivery excellence, and inclusive leadership. Required qualifications, Capabilities, and Skills Ph.D. (or comparable advanced degree) in Economics, Statistics, Operations Research, Mathematics, or a related quantitative field; or equivalent experience. 10+ years building and deploying predictive risk models for consumer lending portfolios, with deep domain knowledge in auto and business banking credit. 5+ years leading and developing high‑performing quantitative teams. Expertise across advanced modeling methods (e.g., parametric and non‑parametric regression, time series, survival/PD‑LGD‑EAD frameworks, machine learning). Proficiency in Python and/or R; familiarity with SAS; strong SQL and experience with large‑scale datasets. Demonstrated ability to communicate complex analytics succinctly and influence senior stakeholders. Strong analytical judgment and problem solving; track record of improving processes and controls. Preferred qualifications, Capabilities, and Skills Experience with CECL/allowance modeling, capital stress testing, and scenario design. Familiarity with model risk governance, validation expectations, and audit processes. Experience with modern data and model operations tooling (e.g., Spark, Git, CI/CD, workflow orchestration) and collaboration with Technology/Engineering teams. Exposure to cloud‑based analytics environments and secure model deployment at scale. Benefits 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. Equal Opportunity Statement 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 applicantsâ and employeesâ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. #J-18808-Ljbffr 慨正橡扯