Mortgage Finance Analytics – Senior Associate

Do you have a strong banking finance, mortgage, or credit background—and want to apply it to a large, high-profile mortgage portfolio? Join the Global Private Bank (GPB) Mortgage Finance team within Asset & Wealth Management Finance & Business Management (F&BM). You’ll work closely with Finance, Treasury, Credit Risk, and model stakeholders, turning balance sheet, credit, and profitability drivers into clear insights for senior management.

As a Mortgage Finance Analytics Finance & Business Management (F&BM) Senior Associate in GPB Mortgage Finance, you will support the GPB Deposit & Mortgage business across credit loss reserving (CECL), regulatory stress testing (CCAR), and financial forecasting and budgeting. This role emphasizes a strong Finance, mortgage, and credit foundation, paired with the ability to pull, analyze, and interpret data. You’ll execute quarterly reserving and stress testing processes, translate complex model outputs and balance sheet drivers into executive-ready insights, and collaborate across Finance, Treasury, and Credit Risk while driving process improvements and regulatory compliance.
Job Responsibilities

- Execute quarterly CECL reserve and CCAR/stress testing processes for the mortgage portfolio, and analyze and explain the key drivers of the results

- 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 the mortgage outlook, budget, and forecast, including balances, net interest income (NII), funds transfer pricing (FTP)/cost of funds, client rates, and spreads

- Translate complex model outputs and balance sheet drivers into clear, executive-ready insights

- Pull, analyze, and interpret large data sets to support Finance and business decision-making

- 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

- 3+ years of experience in at least one of: banking finance/FP&A, forecasting, credit risk or credit analytics, stress testing, or reserving (CECL/ALLL)

- Strong understanding of core banking concepts such as the balance sheet, P&L, NII, cost of funds/FTP, CECL, or credit losses

- Strong analytical and problem-solving skills, with the ability to pull, analyze, interpret, and synthesize data into clear insights

- Advanced Excel skills, including working with large datasets and complex formulas

- Working knowledge of SQL, Python, or SAS, with willingness to develop these skills further on the job

- Strong communication skills, with the ability to effectively engage stakeholders, including senior leadership

Preferred Qualifications, Capabilities, and Skills

- Direct mortgage experience (mortgage, residential lending, or consumer credit)

- Hands-on exposure to CECL, CCAR/DFAST, or other regulatory stress testing

- Experience at a large/regional bank or a Big Four/consulting organization

- Programming experience in Python, R, SAS, or similar tools

- Experience with data visualization or analytics tools such as Tableau or Alteryx

- Exposure to forecasting models, prepayment analytics, or credit risk modeling