Wholesale Credit Risk Loan Loss Forecasting Risk Associate

Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As an Associate in Wholesale Credit Risk Loss Forecasting , you help influence loan loss estimation by supporting forecasting and stress analytics for credit hedges and held-for-sale loans. You partner with us across Business, Finance, Quantitative Research, and Technology to strengthen forecasting assumptions, improve analytics, and deliver timely stress testing outputs. You communicate results and key drivers in a clear, well-structured way to support decision-making across the first and second lines of defense.

Build and maintain deep product knowledge of loan underwriting and syndication activities (with focus on Corporate and Infrastructure credit) as well as wholesale credit hedging strategies and instruments (e.g., CDS, indices, SRTs). Conduct portfolio deep dive and risk analytics; Stay current on credit market conditions, macro themes, and relevant event-driven trends impacting the portfolio. Review and challenge stress forecasts for hedge P&L and loss-mitigation benefit under internal and regulatory scenarios; support end-to-end stress testing production cycles for QST and CCAR. Develop clear, well-structured management presentations summarizing stress results, key drivers, and walk/explain narratives for business and risk stakeholders. Partner with Quantitative Research to refine modeling treatments and assumptions; become a subject matter resource on credit loss forecast parameters including Probability of Default, Loss Given Default, Rating Migration, and Mark-to-Market loss. Lead UAT and implementation support for model enhancements, system migrations, and new functionality releases, including requirement definition, test design, execution, and issue triage. Conduct ad hoc, transaction-level risk and stress estimates, and perform ongoing portfolio monitoring to identify emerging risks and forecast sensitivities. Drive process efficiency through automation initiatives (including responsible use of LLMs/AI, where appropriate) to streamline forecasting, reporting, and controls. Provide analytical support for risk review and challenge of new products, business initiatives, and stress methodology changes impacting the respective portfolios Build and sustain strong stakeholder relationships across Business, Risk, Finance, Quantitative Research, and Technology, ensuring alignment on assumptions, timelines, and deliverables. Required Qualifications, Capabilities and Skills Bachelor’s degree in Business, Finance, Mathematics, or a related field. 3+ years of experience in credit risk, stress testing, risk analytics, model development, or similar roles. Strong knowledge of loan and derivative products; familiarity with leveraged finance and credit hedging instruments strongly preferred. Demonstrated ability to build effective working relationships across First Line and Second Line stakeholders. Ability to work independently with minimal supervision; sound judgment on when to escalate; ability to perform under pressure and deliver under tight deadlines. Strong written and verbal communication skills, with experience preparing materials for senior management. Strong technical skills, especially Excel, Tableau, and experience applying LLMs/AI to improve workflow efficiency; Python and automation experience is a plus. Strong attention to detail, with the ability to manipulate and analyze large datasets and translate results into clear messaging.