Senior Quantitative Risk VP — Modeling & Analytics

State Street; Stamford (CT); On-site; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Paid time off

Employee Assistance Program

Incentive compensation

Tax advantaged savings plans

Job summary

State Street is seeking an experienced quantitative analyst for the CMAO team to deliver modeling and analytics for counterparty credit risk across SSGM. You will develop financial models, validate VaR/PFE/CVA, and work with risk control and IT to maintain governance in a fast-paced environment.

The role emphasizes CCAR deliverables, production processes, and collaboration across control functions, business users, and IT partners. Extensive experience and advanced programming are required.

Qualifications

• Masters’ or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, Computer Science, or related field). Machine learning experience is a plus.
• Minimum 8+ years of working experience in financial modeling as a key contributor.
• Demonstrated knowledge and experience developing or validating VaR, PFE and CVA models.
• Demonstrated knowledge on derivatives, RMBS and equities pricing/modeling, yield curve building methodology, interest rate modelling.
• Advanced programming skills in Python and SQL are required.
• Familiarity with CCAR regulatory frameworks and the corresponding requirements is a plus.
• Self-motivated and detail oriented.
• Ability to work independently and as part of a high-energy team.
• Strong verbal and written communication skills, with ability to articulate ideas clearly.
• Ability to gain credibility and collaborate across the organization.

Responsibilities

• Lead model methodology research, prototyping and determination.
• Develop and build financial models and analytics for trading in diverse asset classes.
• Improve existing codebase and propose new solutions.
• Document development methodology, quantitative analysis and implementation.
• Design and implement model monitoring with performance metrics and escalation plan.
• Collaborate with Model Risk Management, Audit and Regulatory teams for governance.
• Coordinate with IT and business users to establish production processes.
• Deliver timely CCAR outputs and support BAU risk management activities.

Skills

Python

SQL

Machine learning

Education

Masters’ or PhD in quantitative discipline

Job description

State Street is seeking an experienced quantitative analyst for the CMAO team to deliver modeling and analytics for counterparty credit risk across SSGM. You will develop financial models, validate VaR/PFE/CVA, and work with risk control and IT to maintain governance in a fast-paced environment.

The role emphasizes CCAR deliverables, production processes, and collaboration across control functions, business users, and IT partners. Extensive experience and advanced programming are required.