Senior Quant Risk VP - Modeling and Analytics Lead

State Street; Stamford (CT); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Health, dental, vision insurance

Paid time off

Employee Assistance Program

Incentive compensation eligibility

Tax-advantaged savings plans

Job summary

State Street seeks an experienced quantitative analyst to join the CMAO team within Enterprise Risk Management, focusing on counterparty credit risk. You will develop models for diverse asset classes, validate risk measures, and ensure governance with control functions. Strong programming in Python and SQL is essential.

You will collaborate across Risk, Audit, and IT to maintain robust production processes and meet CCAR deliverables in a fast-paced environment.

Qualifications

• The candidate should hold a Master’s or PhD in a quantitative field with strong mathematical foundations.
• Experience in financial modeling and validation of VaR, PFE and CVA is required or highly preferred.
• Familiarity with derivatives, RMBS, equities, yield curves and rate modeling is expected.
• Proficiency in Python and SQL for analytics and data processing is required.

Responsibilities

• Lead model research, prototyping and methodology decisions for counterparty credit risk.
• Develop and enhance financial models and analytics for trading activities across asset classes.
• Advance codebases, propose improvements, and document methodologies and implementations.
• Design robust model monitoring plans with performance metrics and escalation paths.
• Collaborate with Model Risk Management, Audit and Financial Regulatory teams for governance.
• Work with business users and IT to establish reliable production processes.
• Deliver timely CCAR-related analyses and reports for management review.
• Support ongoing BAU risk management activities and issue resolution.

Skills

Quantitative modeling

VaR/PFE/CVA models

Derivatives pricing/modeling

CCAR regulatory knowledge

Strong communication

Education

Masters or PhD in a quantitative discipline

Tools

Python

SQL

Job description

State Street seeks an experienced quantitative analyst to join the CMAO team within Enterprise Risk Management, focusing on counterparty credit risk. You will develop models for diverse asset classes, validate risk measures, and ensure governance with control functions. Strong programming in Python and SQL is essential.

You will collaborate across Risk, Audit, and IT to maintain robust production processes and meet CCAR deliverables in a fast-paced environment.