Senior Quantitative Risk AVP

STATE STREET CORPORATION; Boston (MA); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Health insurance

Paid time off

Job summary

State Street Corporation's CMAO team seeks an experienced quantitative analyst to develop and validate financial models for the trading business, advancing code and documenting methodologies. You will collaborate with Model Risk Management, Audit, and Finance to ensure governance and timely CCAR deliverables.

The role requires a Masters or PhD in a quantitative field, 2–4 years of financial modeling experience, and strong Python and SQL skills.

Qualifications

• Masters or PhD in a quantitative discipline required.
• Minimum 2–4 years of financial modeling experience.
• Experience in developing or validating VaR, PFE and CVA models is expected.
• Strong programming in Python and SQL; knowledge of derivatives pricing and yield curve concepts is a plus.

Responsibilities

• Assume a key role in model methodology research, prototyping and determination.
• Develop and build out financial models and analytics for the trading business.
• Advance existing codebase and propose new solutions and improvements.
• Document development methodology, quantitative analyses, and implementation process.
• Design and implement model monitoring with performance metrics, thresholds, and escalation plan.
• Collaborate with Model Risk Management, Audit, and Regulatory teams to ensure governance.
• Work with IT and business users to establish production processes within IT infrastructure.
• Timely execute CCAR deliverables.
• Support regular BAU risk management activities and resolve issues.

Skills

Quantitative analysis

Statistical modeling

Communication skills

Education

Masters or PhD in quantitative discipline

Tools

Python

SQL

Job description

State Street Corporation's CMAO team seeks an experienced quantitative analyst to develop and validate financial models for the trading business, advancing code and documenting methodologies. You will collaborate with Model Risk Management, Audit, and Finance to ensure governance and timely CCAR deliverables.

The role requires a Masters or PhD in a quantitative field, 2–4 years of financial modeling experience, and strong Python and SQL skills.