As a Risk Management Analyst within the Credit Risk Measurement and Analytics team, you will play a pivotal role in maintaining the strength and resilience of JPMorgan Chase. Your responsibilities will include anticipating new and emerging risks, using your expert judgement to address real-world challenges that affect our company, customers, and communities. You will be part of a culture that encourages innovative thinking, challenges the status quo, and aims for best-in-class standards. Your role will involve managing credit risk oversight for marketable-securities-backed lending programs, capital markets activities, derivative programs, and principal market risk for the Global Private Bank (GPB) and Wealth Management (WM). You will also manage the associated risk measurement and stress testing frameworks, which include methods to establish collateral requirements to secure credit exposure, stress testing for sufficient collateral, establishing reserves, and measuring risk appetite. Your key stakeholders will include the Risk organization, Lending & Trading Solutions providers, Lenders, Investors, and Finance.
Job Responsibilities
- Support front-office investment and lending decision makers in understanding CRMA’s methodologies.
- Cover designated regions and product desks as methodologies expert; Support deal process through construction of lending values for new or complex asset classes, deal structures, and strategies; Partner with Quantitative Research (“QR”) to review, assess, and recommend monthly Lending Value Changes and communicate to Chief Risk Officers, Global & Regional Lending leads and heads of business.
- Act as an expert on global market dynamics, risk scenario construction, and interpretation.
- Analyze impact of events to lending values, margin requirements, and clients; Produce oversight analytics & reporting, as needed; Support senior CRMA members in event driven risk reviews; Present analyses and recommendations to CRMA leadership, and risk management & front-office decision-making forums
- Analyze market risk and liquidity profiles of collateral; Review credit profiles of clients; Understand client strategies
- Partner with business and support teams to evaluate results of established stress testing; Produce stress testing deliverables as required.
- Support and produce ad-hoc (event-driven) stress testing; Partner with global front-office, risk management, and support teams in periodic production of global regulatory deliverables (e.g. Comprehensive Capital Analysis and Review).
- Support senior CRMA team members with periodic evaluations of risk appetite; Support CRMA leadership with market risk oversight, limit monitoring, and limit construction for new initiatives
- Partner with QR, credit risk, and front-office teams to develop and review models, methodologies, and assumptions for Lending Value / Initial Margin for clients’ securities / derivatives activity; Partner with firmwide QR and front-office teams to review and challenge existing models, assumptions, and analytics associated with stress test production; Partner with firmwide QR, credit risk, and front-office teams to enhance existing and new analytic tools.
- Support CRMA leadership with designing control frameworks, document related guidelines & execute implementation with business partners
- Support CRMA leadership in operational uplifts; Support data research projects to design new architectures to unlock new information; Support reporting and metric design to create new information capabilities
Required Qualifications, Skills and Capabilities
- Undergraduate degree required
- Experience in an analytical, technical, trading, or research-oriented role
- Broad financial product knowledge required
- Excellent communication and interpersonal skills
- Good team player, and high sense of ownership
Preferred Qualifications, capabilities and skills
- Academic concentrations in technical disciplines preferred
- Graduate degree, or professional designations a plus
- Professional experience in credit risk management, market risk management, or with derivatives a plus
- Academic background in, or professional experience with, financial mathematics, quantitative risk methodologies, public policy, economic policy, international finance, international affairs, operations research, financial engineering, industrial engineering, electronics engineering, physics and/or data science
- Practical knowledge of Python and associated data analytics packages (preferably in a professional environment)