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 ...