About The Position

As a Wholesale Credit Risk Loan Loss Forecasting Associate in the Commercial & Investment Bank Risk organization, you will help ensure the integrity and quality of wholesale credit loan loss estimates spanning more than $1 trillion in client exposure across lines of business and industry segments. You will collaborate with senior executives and partners across Risk, Finance, and the broader firm to deliver analytics and methodology insights and modernize how they are produced, using advanced analytics and a resourceful, tool-agnostic approach. The work directly informs quarterly allowance and stress testing exercises. You will join a diverse, global team whose work has a measurable impact on firmwide risk and finance programs.

Requirements

  • Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, Engineering, or a related quantitative discipline.
  • At least 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 and familiarity with the CCAR regulatory framework and stress testing requirements.
  • Proficiency in SQL and Python for extracting, transforming, and analyzing 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.
  • Ability to collaborate across diverse groups, build consensus, execute agreed plans, and manage 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.

Nice To Haves

  • Advanced degree, such as an MBA or a master's degree in Finance, Economics, or a quantitative discipline, or a 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.

Responsibilities

  • Review top-level and loan-level allowance and stress testing results for reasonability, accuracy, and alignment with portfolio trends.
  • Assess risks and support the estimation of qualitative loan loss reserves, incorporating management judgment, industry data, and emerging or idiosyncratic risk factors.
  • Calculate, analyze, and communicate modeling parameters, including Probability of Default, Loss Given Default, Exposure at Default, and Rating Migration, and translate them into actionable loss estimates.
  • Develop and 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, and build reusable, query-driven analytics to support strategic decision-making.
  • Prepare and present materials to senior management and firmwide stakeholders, tailoring messaging and detail to diverse audiences.
  • Collaborate across lines of business and with partners in Corporate Finance, External Reporting, Quantitative Research, Model Risk, and Technology to build consensus and execute shared objectives.
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