Wholesale Credit Risk Associate - Stress Testing

As a Wholesale Credit Risk Loan Loss Forecasting Associate in the Commercial & Investment Bank Risk organization, you will play a critical role in shaping the integrity and quality of the firm's wholesale credit loan loss estimates, spanning over $1 trillion in client exposure across diverse lines of business and industry segments. You will collaborate with senior executives and partners across Risk, Finance, and the broader firm to deliver high-quality analytics and methodology insights, and to modernize how those insights are produced, applying advanced analytics and bringing a resourceful, tool-agnostic mindset to a process that directly informs quarterly allowance and stress testing exercises.

You will be part of a diverse, talented, and global team where your ideas are welcomed, your voice matters, and your work has direct, measurable impact on firmwide risk and finance programs.

Job Responsibilities

• Review top-level and loan-level allowance and stress testing results for reasonability, accuracy, and alignment with portfolio trends
• Assess risks and support estimation of qualitative loan loss reserves, incorporating management judgment, industry data, and emerging or idiosyncratic risk factors
• Calculate, analyze, and communicate key modeling parameters, including Probability of Default, Loss Given Default, Exposure at Default, and Rating Migration, and translate these into actionable loss estimates
• Develop and continuously deepen expertise in CECL allowance estimation methodology, with working knowledge of CCAR stress testing to ensure consistency of assumptions and results across both exercises
• Perform portfolio trend and sensitivity analyses across macroeconomic scenarios, portfolio stress tests, and assumption changes, building reusable, query-driven analytics to support strategic decision-making
• Prepare and present materials to senior management and firmwide stakeholders, tailoring messaging and level of detail to diverse audiences
• Collaborate across lines of business and with partners in Corporate Finance, External Reporting, Quantitative Research, Model Risk, and Technology to drive consensus and execute on shared objectives
• Required qualifications, capabilities, and skills
• Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, Engineering, or a related quantitative discipline
• 3+ years of experience in credit risk, loan loss forecasting, financial analysis, or a quantitative function within financial services
• Familiarity with Commercial and Industrial and Commercial Real Estate loans and lending-related commitments
• Working knowledge of CECL credit loss accounting standards, with familiarity with the CCAR regulatory framework and stress testing requirements
• Proficiency in SQL and Python for data extraction, transformation, and analysis of large datasets across Risk, Finance, or related functions
• Experience with modern data and analytics platforms such as Alteryx, Databricks, ThoughtSpot, or VSCode
• Hands-on experience with Tableau Desktop
• Proficiency in Microsoft Excel, PowerPoint, and other Office applications
• Demonstrated ability to collaborate across diverse groups, build consensus, and execute on agreed plans while managing multiple concurrent workstreams in a fast-paced environment
• Strong oral and written communication skills, including the ability to distill complex topics into clear, concise messaging for senior management

Preferred qualifications, capabilities, and skills

• Advanced degree (e.g., MBA, Master's in Finance, Economics, or a quantitative discipline) or professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM)
• Hands-on experience with quantitative credit risk modeling or model validation within a wholesale lending environment
• Experience applying AI/LLM tooling within a regulated or control-focused environment