Quant Analytics-Senior Associate

Are you looking to make an impact through data-driven insights? Join our Global Private Bank team, where you’ll partner with business leaders to shape strategy, enhance analytics, and support critical financial decisions. As a Senior Associate – Mortgage Finance Analytics in Asset & Wealth Management Finance & Business Management (F&BM), you will support the Global Private Bank Deposit & Mortgage business. You will play a key role in delivering profitability insights, forecasting, and regulatory analytics while partnering closely with Finance, Credit Risk, and model stakeholders. This role offers the opportunity to own high-impact deliverables, enhance analytical capabilities, and translate complex data into actionable insights in a collaborative, control-focused environment. Job Responsibilities Partner with Mortgage Finance and business leadership to deliver profitability analysis, trends, and decision-support insights Execute quarterly processes including mortgage stress testing (CCAR) and CECL reserve analytics Analyze stress testing and reserving outputs, summarizing key themes and presenting insights to senior management Perform ad hoc analytics to support Credit Risk, including credit cost trends and model result interpretation Collaborate with stakeholders to enhance and monitor forecasting frameworks across revenue, credit, and prepayment risks Support financial forecasting and outlook for mortgage-related metrics, including balance projections, NII, FTP, and client rates Translate complex model outputs and balance sheet drivers into clear, executive-ready insights Design and maintain analytical tools to support forecasting, model execution, and performance monitoring Support model implementation activities, including user acceptance testing (UAT), validation, and ongoing monitoring Ensure compliance with regulatory requirements and adherence to the firmwide Model Risk Policy Drive process improvements through automation, simplification, and enhancement of internal controls Required Qualifications, Capabilities, and Skills Bachelor’s degree in Finance, Economics, Business, or a related field Experience in finance analytics, quantitative analytics, credit analytics, or forecasting Strong analytical and problem-solving skills with the ability to synthesize data into clear insights Advanced Excel skills, including working with large datasets and complex formulas Working knowledge of SQL and experience querying structured datasets Experience supporting model execution, implementation, or validation activities Strong communication skills with the ability to effectively engage stakeholders, including senior leadership Preferred Qualifications, Capabilities and Skills Experience within mortgage, lending, or credit lifecycle analytics Familiarity with stress testing frameworks and CECL reserve methodologies Programming experience in Python, R, SAS, or similar tools Understanding of banking and balance sheet concepts such as NII and FTP Experience with data visualization or analytics tools such as Tableau or Alteryx Exposure to forecasting models, prepayment analytics, or credit risk modeling Experience working in a regulated financial services environment #J-18808-Ljbffr JPMorgan Chase & Co.