Senior Quantitative Risk VP — Modeling & Analytics

State Street; Clifton (NJ); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Insurance coverage: medical, dental, (

Paid time off

Employee Assistance Program

Performance-based incentive

Tax-advantaged savings plans

Job summary

State Street is seeking an experienced quantitative analyst for the CMAO team within Enterprise Risk Management in New Jersey. You will develop and validate models for counterparty credit risk across SSGM, including complex derivatives, financing, and margin products.

The role emphasizes governance, monitoring, and timely CCAR deliverables, with strong Python/SQL skills and a relevant advanced degree. Collaborate across IT and control functions in a fast-paced environment.

Qualifications

• Masters’ or PhD in a quantitative discipline with strong analytical skills.
• Experience in financial modeling as a key contributor (2-4 years).
• Knowledge of VaR, PFE and CVA modeling concepts.
• Familiar with CCAR frameworks and derivatives pricing.

Responsibilities

• Lead model methodology research, prototyping, and development.
• Build and validate financial models for trading and risk analytics.
• Enhance codebase and implement new modeling solutions.
• Document methodologies and results for governance.
• Design model monitoring plans with metrics and thresholds.
• Collaborate with Model Risk Management, Audit, and IT for production processes.
• Deliver CCAR outputs and support BAU risk activities.

Skills

Python

SQL

Machine learning

VaR modeling

CVA modeling

Education

Master's or PhD in a quantitative discipline

Job description

State Street is seeking an experienced quantitative analyst for the CMAO team within Enterprise Risk Management in New Jersey. You will develop and validate models for counterparty credit risk across SSGM, including complex derivatives, financing, and margin products.

The role emphasizes governance, monitoring, and timely CCAR deliverables, with strong Python/SQL skills and a relevant advanced degree. Collaborate across IT and control functions in a fast-paced environment.