Risk Management Wholesale Credit Risk Loan Loss Forecasting Risk Associate

Bring your expertise to JPMorgan Chase. As part of Wholesale Credit Risk Loan Loss Forecasting team you will help influence loan loss estimation and collaborate with risk executives and business stakeholders across the firm to articulate methodology assumptions and forecasting outcomes for exercises includingQuarterly Stress Testing (QST) Comprehensive Capital Analysis and Review (CCAR) and ad hoc risk analysis and stress limit management.

As a Risk Associate in Wholesale Credit Risk Loan Loss Forecasting team you will support the forecasting and stress analytics fora portfolio of credit hedges andheld-for-sale loans. Additionally this role offers a unique opportunity to build deep expertise in various credit products develop a strong understanding of the firms stress testing frameworks and modeling assumptions and help shape the future stress treatment through close partnership with the Business Finance and Quantitative Research teams across JPMorgan Chase. The ideal candidate is passionate about risk management and brings strong quantitative and analytical skills with experience independently driving projects spanningtechnology modeling and data. The Associate will communicate insights and results to senior stakeholders across theFirst Line and Second Line of Defense.

JobResponsibilities

• Build and maintain a strong understanding of wholesale credithedging strategies and instruments includingsingle-name CDS indices options and Synthetic Risk Transfer (SRT)transactions.
• Review and challengestress forecastsfor hedge P&L and loss-mitigation benefit under internal and regulatory scenarios; support end-to-endstress testing production cyclesfor Quality Stress testing and Comprehensive Capital Analysis and Review.
• Develop clear well-structuredmanagement presentationssummarizing stress results key drivers andwalk/explainnarratives for business and risk stakeholders.
• Partner withQuantitative Researchto refine modeling treatments and assumptions; become a subject matter resource on credit loss forecast parameters includingProbability of Default Loss Given Default Rating Migration and Mark-to-Market loss.
• LeadUATand implementation support for model enhancements system migrations and new functionality releases including requirement definition test design execution and issue triage.
• Conductad hoc transaction-levelrisk and stress estimates and perform ongoing portfolio monitoring and targeted deep-dives to identify emerging risks and forecast sensitivities.
• Drive process efficiency throughautomation initiatives(including responsible use ofLLMs/AI where appropriate) to streamline forecasting reporting and controls.
• Provide analytical support forrisk review and challengeof new products business initiatives and stress methodology changes impacting the respective portfolios
• Build and sustain strong stakeholder relationships acrossBusiness Risk Finance Quantitative Research and Technology ensuring alignment on assumptions timelines and deliverables.
• Maintain working knowledge ofloan underwriting and syndicationactivities; stay current on credit market conditions macro themes and relevantM&A / event-drivenactivity impacting the portfolio.

Required Qualifications Capabilities and Skills

• Bachelors degree inBusiness Finance Mathematics or a related field.

• Minimum 3 yearsof experience in credit risk stress testing risk analytics model development or similar roles.

• Demonstrated ability to build effective working relationships acrossFirst Line and Second Linestakeholders.
• Ability to work independently with minimal supervision; sound judgment on when to escalate; ability to perform under pressure and deliver under tight deadlines.

• Strongwritten and verbal communicationskills with experience preparing materials for senior management.

• Strong attention to detail with the ability tomanipulate and analyze large datasetsand translate results into clear messaging.

  Preferred Qualifications Capabilities and Skills

• Strong technical skills especiallyExcelTableau and experience applyingLLMs/AIto improve workflow efficiency;Python and automationexperience is a plus.
• Strong knowledge of loan and derivative products; familiarity with credit hedging instruments (CDS/index/options) strongly preferred.