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State Street

Market Risk Stress Testing, Scenario Design

State Street

. Develop and enhance Global Market Shock (GMS) and Counterparty Credit Stress Testing (CCST) scenarios across interest rates, credit spreads, equities, foreign exchange, commodities, and volatility markets .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $120,000 - $202,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and enhancing Global Market Shock (GMS) and Counterparty Credit Stress Testing (CCST) methodologies, with strong quantitative analysis and communication skills to present complex concepts to diverse stakeholders. Proficient in regulatory frameworks and market risk dynamics, with a focus on innovative tools and scenario design.

Highest-signal resume keywords
Global Market Shock (GMS) MethodologyCounterparty Credit Stress Testing (CCST)Quantitative AnalysisRegulatory Frameworks (Basel, FRTB)Python Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative AnalyticsMarket Risk ModelingScenario DesignRisk-Factor CalibrationData AnalysisStress Testing MethodologiesFinancial Market ModelingAdvanced AnalyticsAutomation ToolsAI-Enabled Tools
Soft Skills
Strong Communication SkillsInfluencing StakeholdersSound JudgmentPresentation SkillsAbility to Challenge Assumptions
Industry Keywords
Market RiskCross-Asset Risk DynamicsRegulatory AssuranceModel Risk ManagementInternal AuditGovernance CommitteesEmerging RisksPortfolio VulnerabilitiesStress-Testing GovernanceRisk Assessment

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop and enhance Global Market Shock (GMS) and Counterparty Credit Stress Testing (CCST) scenarios across interest rates, credit spreads, equities, foreign exchange, commodities, and volatility markets
  • Identify emerging risks, assess portfolio vulnerabilities, and translate market developments into stress scenarios and loss assessments
  • Develop and calibrate market shock methodologies across thousands of risk factors
  • Apply quantitative analysis, historical market research, and expert judgment to evaluate scenario severity and benchmark assumptions
  • Partner with Market Risk, Trading, Treasury, Counterparty Credit Risk, Finance, Model Risk Management, Regulatory Assurance, and senior stakeholders
  • Challenge assumptions, evaluate scenario outcomes, and strengthen stress-testing governance
  • Develop innovative tools, models, dashboards, and visualization solutions
  • Support regulatory examinations, model governance reviews, and internal oversight activities
  • Present methodologies, analyses, and scenario results to senior management, risk committees, auditors, and regulators
  • Serve as a subject matter expert on market stress testing, cross-asset market dynamics, regulatory developments, and emerging risks

Requirements

What you’ll need
  • Master's degree or PhD in Finance, Economics, Financial Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline
  • 5+ years of experience in market risk, stress testing, quantitative analytics, financial market modeling, scenario design, or related disciplines
  • Demonstrated expertise in designing, calibrating, executing, or independently reviewing Global Market Shock (GMS), Counterparty Credit Stress Testing (CCST), CCAR, or related regulatory stress-testing frameworks
  • Deep understanding of global financial markets, cross-asset risk dynamics, and market risk regulatory frameworks, including Basel market risk requirements, FRTB, trading book stress testing, and counterparty credit risk
  • Proven ability to develop and enhance quantitative methodologies for stress testing, scenario design, risk-factor calibration, or market risk analytics
  • Experience engaging with regulators, model risk management functions, internal audit teams, and governance committees
  • Ability to influence stakeholders, challenge assumptions, and communicate complex quantitative concepts to technical and non-technical audiences
  • Strong programming and data analysis skills using Python or similar languages
  • Experience with advanced analytics, automation, or AI-enabled tools is a plus
  • Deep understanding of global financial markets and relationships between risk factors across asset classes
  • Strong quantitative and analytical capabilities
  • Sound judgment in ambiguous situations and ability to form data-driven conclusions
  • Strong communication and presentation skills

Benefits

Comp & perks
  • Retirement savings plan (401K) with company match
  • Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional 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
  • Eligibility for certain tax-advantaged savings plans
  • Inclusive development opportunities
  • Flexible work-life support
  • Paid volunteer days
  • Employee networks