VP, Quantitative Risk Modeling & CCAR Analytics

State Street; Clifton (NJ); On-site; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K Match

Medical Insurance

Paid Time Off

Employee Assistance Program

Job summary

State Street's Centralized Modeling & Analytics and Operations (CMAO) team seeks an experienced quantitative analyst to join the ERM organization. You will work on counterparty credit risk modeling for SSGM, shaping methodology and analytics across a broad set of asset classes.

The role emphasizes model development, monitoring, governance, and collaboration with control functions to ensure robust risk management and regulatory compliance.

Qualifications

• Masters’ or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field). Experience in machine learning is a plus.
• Minimum 8+ years of working experience in financial modeling field 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 attention to detail.
• Demonstrated ability to work independently on complex projects as well as the ability to be a team player in a fast-paced environment.
• Strong verbal and written communication skills, with ability to articulate ideas, analysis and complex concepts effectively to broad audiences.

Responsibilities

• Assume a key role in model methodology research, prototyping and determination.
• Develop and build out financial models and analytics for the trading business leveraging mathematical and computer science methods.
• Advance existing codebase and propose new solutions and improvements.
• Document development methodology, quantitative analysis, and implementation process.
• Design and implement model monitoring plans with performance metrics and escalation paths.
• Work with Model Risk Management, Audit, and Financial Regulatory Assurance for governance.
• Collaborate with business users and IT partners to establish production processes in IT.
• Timely execute CCAR deliverables.
• Support regular BAU risk management activities and resolve issues.

Skills

Python

SQL

Education

Masters/PhD in quantitative discipline

Job description

State Street's Centralized Modeling & Analytics and Operations (CMAO) team seeks an experienced quantitative analyst to join the ERM organization. You will work on counterparty credit risk modeling for SSGM, shaping methodology and analytics across a broad set of asset classes.

The role emphasizes model development, monitoring, governance, and collaboration with control functions to ensure robust risk management and regulatory compliance.