- 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