JPMorgan Private Bank - Credit Risk Analytics Lead 

China, Hong Kong, Hong Kong Island 

265314160

Job Summary:

The team manages credit risk oversight of marketable-securities-backed lending programs, capital markets activities, derivative programs, and principal market risk for the Global Private Bank (GPB) and Wealth Management (WM). They also manage associated risk measurement and stress testing frameworks. Frameworks include (a) methods to establish collateral requirements to secure credit exposure; and (b) stress testing for sufficient collateral, establishing reserves, and measuring risk appetite. The key stakeholders 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 (or margin requirements) 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, Trading and Investment leads and heads of business; Understand regulatory requirements and commitments
• Become 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. Lead 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
• Lead ‘review & challenge’ engagements in partnership with business, risk, and support teams to evaluate stress testing results; Produce, and/or manage, stress testing deliverables as required; Support and/or produce ad-hoc (event-driven) stress testing as required; 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 risk leadership with periodic evaluations of risk appetite; Lead market risk oversight, limit monitoring, and limit construction for new initiatives for region or product
• 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 firm wide QR and front-office teams to review and challenge existing models, assumptions, and analytics associated with stress test production; Partner with firm wide QR, credit risk, and front-office teams to enhance existing and new analytic tools; Support senior risk leadership with designing control frameworks, document related guidelines & execute implementation with business partners; Support New Business Initiative (NBIA) reviews as credit and/or market risk subject matter expert
• Lead operational & analytics uplifts; Lead data research projects to design new architectures to unlock new information; Lead reporting and metric design to create new information capabilities

Required Qualifications, Skills and Capabilities

• Undergraduate degree required
• 6+ years in an analytical, technical, trading, or research-oriented role in capital markets
• Broad financial product knowledge required
• Excellent communication and interpersonal skills; Demonstrated mastery communicating technical capital markets concepts to a non-technical audience
• 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
• Academic background in, or professional experience with, financial mathematics, financial engineering, quantitative risk methodologies, and/or data science
• Professional experience in credit risk management, market risk management, derivatives, or hedging strategies a plus
• Practical knowledge of Python and associated data analytics packages (preferably in a professional environment)