Quantitative Risk, AVP

State Street’s Enterprise Risk Management (ERM) organization is seeking an experienced quantitative analyst to join the Centralized Modeling & Analytics and Operations (CMAO) team. CMAO provides analytics-based services and solutions to business units across State Street, creating value through data-driven solutions that enable timely and informed decisions.

About the role

This role focuses on delivering modeling and analytics solutions to assess counterparty credit risk managed by State Street Global Markets (“SSGM”). The supported portfolio includes SSGM Financing Solutions such as Agency Lending, Prime Services, Secured Financing, derivatives in interest rates, FX and equity asset classes, and Eligible Margin Loan in Global Credit Financing (“GCF”). The position significantly impacts BAU risk management and regulatory CCAR requirements through complex deliverables.

Responsibilities

• Assume a key role in model methodology research, prototyping, and determination
• Develop and build financial models and analytics for the trading business using mathematical and computer science methods and tools
• Advance the existing codebase and propose new solutions and improvements
• Document development methodology, quantitative analysis, and implementation processes
• Design and implement an effective model ongoing monitoring plan, including performance metrics, thresholds, and escalation procedures
• Collaborate with control functions such as Model Risk Management, Audit, and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure
• Work closely with business users and IT partners to establish production processes within the IT infrastructure
• Execute CCAR deliverables in a timely manner
• Support regular BAU risk management activities and proactively resolve issues

Requirements

• Master’s 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 2-4 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 of derivatives, RMBS and equities pricing/modeling, yield curve building methodology, and interest rate modeling
• Advanced programming skills in Python and SQL
• Familiarity with CCAR regulatory frameworks and corresponding requirements is a plus
• Self-motivated with strong attention to detail
• Ability to work independently on complex projects and collaborate effectively in a fast-paced, high-energy environment
• Strong verbal and written communication skills, with the ability to articulate ideas, analysis, and complex concepts to broad audiences
• Competence and confidence to gain credibility and collaborate across the organization

Pay

$90,000 - $157,500 annual. The range applies to the primary location specified; if the candidate works outside this location, the applicable range may differ.

Benefits

• Retirement savings plan (401K) with company match
• Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional coverages
• Paid-time off including vacation, sick leave, short-term disability, and family care responsibilities
• Employee Assistance Program
• Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles)
• Eligibility for certain tax-advantaged savings plans