Job summary

As a Credit Risk Measurement and Analytics Associate on the Global Private Bank and Wealth Management team, you'll develop expert knowledge of global financial markets, market & credit risk management frameworks, risk analytics, and WM’s lending solutions and derivatives businesses. 

Credit Risk Measurement and Analytics (CRMA) operates a globally delegated coverage model with team members and partner teams located in North America, EMEA, and APAC. The team has a culture of actively managing risk through intelligent and proactive risk measurement, that is client focused, and adheres to the highest standards and best practices in the industry. A CRMA Associate will be expected to develop expert knowledge of global financial markets, market & credit risk management frameworks, risk analytics, and WM’s lending solutions and derivatives businesses. A successful candidate will possess an entrepreneurial mindset, be comfortable working at the fast pace of markets, see ambiguity as an opportunity, and go the extra step to find the best solution.

Job responsibilities

• Providing support for 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

• Develop your skills 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

• Responsible for analyzing the market risk and liquidity profiles of collateral; Review credit profiles of clients; Understand client strategies 

• Providing a partnership 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 

• Providing a partnership 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 CRMA leadership with designing control frameworks, document related guidelines & execute implementation with business partners

• Responsible for supporting CRMA leadership in operational 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, capabilities, and skills

• Undergraduate degree required
• 3 years in an analytical, technical, trading, or research-oriented role 
• Broad financial product knowledge required 
• Practical knowledge of Python and associated data analytics packages (preferably in a professional environment) 
• Practical knowledge of Tableau, or other Business Intelligence (BI) / Data Visualization Tools, and Microsoft office suite (Excel/PowerPoint/Word)
• Excellent communication and interpersonal skills
• Good team player, and high sense of ownership

Preferred qualifications, capabilities, and skills

• Academic concentrations in technical disciplines 
• Graduate degree, or professional designations 
• Academic background in, or professional experience with, financial mathematics, quantitative risk methodologies, financial engineering, and/or data science
• Professional experience in credit risk management, market risk management, derivatives, or hedging strategies