Senior Quantitative Risk Lead – Counterparty Analytics

STATE STREET CORPORATION; Boston (MA); On-site; USD 122,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Health, dental, vision insurance

Paid time off

Employee assistance program

Annual incentive compensation

Job summary

State Street Corporation seeks an experienced quantitative analyst to join the CMAO team within ERM, focusing on counterparty credit risk modeling for SSGM. You will develop and validate models, prototype methodologies, and design monitoring plans working with risk, audit, and IT partners.

Required eight-plus years in financial modeling, advanced Python/SQL, and knowledge of derivatives, RMBS, and yield curves.

Qualifications

• Masters or PhD in a quantitative field (Math, Finance, CS) required.
• 8+ years in financial modeling as a key contributor.
• Experience with VaR, PFE, CVA modeling/validation.
• Knowledge of derivatives, RMBS, equities, yield curves, and rate modelling.
• Strong programming and communication skills with attention to detail.

Responsibilities

• Develop and validate financial models for trading activities.
• Prototype model methodologies and document processes.
• Design monitoring plans with metrics and thresholds.
• Collaborate with Model Risk Management, Audit, and regulatory teams.
• Deliver CCAR-related outputs and BAU risk management support.

Skills

Python

SQL

Machine learning

Data analysis

Communication skills

Team collaboration

Education

Masters’ or PhD in Financial Mathematics/Engineering/Math/Statistics/CS

Job description

State Street Corporation seeks an experienced quantitative analyst to join the CMAO team within ERM, focusing on counterparty credit risk modeling for SSGM. You will develop and validate models, prototype methodologies, and design monitoring plans working with risk, audit, and IT partners.

Required eight-plus years in financial modeling, advanced Python/SQL, and knowledge of derivatives, RMBS, and yield curves.