7-10+ years of experience in counterparty credit risk or quantitative risk analysis
Strong understanding of derivatives exposure and securities financing transactions
Demonstrated experience in stress testing and CCAR deliverables
Advanced knowledge of PFE, EPE, EAD, and collateralization
Proficient in Microsoft Excel; familiarity with Python and data visualization tools is a plus
Ability to interpret complex datasets and communicate findings effectively
Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related field; Master's degree or CFA/FRM preferred
Responsibilities
Lead analytical activities for counterparty credit risk stress testing
Evaluate portfolio behavior under adverse market conditions
Support CCAR initiatives through exposure projections and regulatory reporting
Analyze key risk metrics including PFE, EPE, and EAD
Assess the impact of collateral arrangements and market movements on exposure profiles
Develop actionable risk assessments for senior leadership
Monitor counterparty credit risk appetite and early-warning indicators
Collaborate with quantitative modeling teams to evaluate model outputs
Benefits
Hybrid work arrangement in New York, NY
Engagement as W2 only (no C2C/1099)
Contract duration of approximately 6 months
Senior-level individual contributor role without direct management responsibilities
Cross-functional exposure to senior stakeholders across various departments
Opportunities for professional development in complex counterparty risk frameworks
Involvement in strategic initiatives related to regulatory stress testing and risk analytics
Full Job Description
Job Description Be Part Of A High-Performing Team
Join a global financial institution with a strong presence in capital markets, investment banking, and sophisticated financial risk management. The organization operates in a highly regulated environment where disciplined risk oversight, quantitative analysis, and effective collaboration are essential to maintaining financial stability and supporting strategic business decisions.
This opportunity sits within a specialized Counterparty Credit Risk (CCR) Portfolio Analysis team responsible for evaluating exposure across complex derivatives and securities financing transactions. The team partners closely with Enterprise Stress Testing, Finance, Market Risk, Quantitative Modeling, and Front Office stakeholders to strengthen risk measurement, regulatory reporting, and portfolio resilience.
The position offers an opportunity to take ownership of critical stress-testing and regulatory capital assessment initiatives while contributing to the continued enhancement of risk analytics, governance, and reporting capabilities.
What's In Store For You
Hybrid work arrangement: New York, NY.
Engagement: W2 only (no C2C/1099).
Contract duration: Approximately 6 months, beginning November 2, 2026.
Senior-level individual contributor opportunity: Operate at the Vice President level without direct people-management responsibilities.
Cross-functional exposure: Collaborate with senior stakeholders across Risk Management, Finance, Quantitative Modeling, and Capital Markets.
Strategic initiatives: Contribute to regulatory stress testing, CCAR, portfolio risk analytics, and improvements to exposure measurement methodologies.
Professional development: Gain exposure to complex counterparty risk frameworks, advanced stress-testing analytics, and enterprise-wide regulatory initiatives.
How You Will Make An Impact
Lead analytical activities supporting counterparty credit risk stress testing across derivatives and securities financing transaction (SFT) portfolios.
Evaluate portfolio behavior under adverse market conditions, identifying exposure sensitivities, concentration risks, and emerging vulnerabilities.
Support Comprehensive Capital Analysis and Review (CCAR) initiatives through exposure projections, analytical documentation, scenario interpretation, and regulatory reporting.
Analyze Potential Future Exposure (PFE), Expected Positive Exposure (EPE), and Exposure at Default (EAD), including stressed exposure metrics, to identify key risk drivers.
Assess the influence of collateral arrangements, netting agreements, market movements, and counterparty characteristics on exposure profiles.
Develop clear, actionable risk assessments and management presentations that communicate complex quantitative findings to senior leadership and risk committees.
Collaborate with quantitative modeling teams to evaluate model outputs, challenge assumptions, and assess the implications of methodology changes.
Analyze wrong-way risk, counterparty concentrations, and stress-related vulnerabilities across industries, collateral categories, and trading portfolios.
Enhance the quality, consistency, and governance of stress-testing methodologies, analytical documentation, and internal controls.
Identify opportunities to improve reporting automation, data accuracy, analytical visualization, and operational efficiency.
Partner with Finance, Enterprise Stress Testing, Market Risk, Technology, and trading stakeholders to maintain alignment across exposure analysis and regulatory deliverables.
Requirements Do You Bring Proven Success in Counterparty Credit Risk, Stress Testing, and CCAR Analytics?
Experience: 7-10+ years of relevant experience in counterparty credit risk, quantitative risk analysis, stress testing, or closely related capital markets risk functions.
Counterparty credit risk expertise: Strong understanding of derivatives exposure, securities financing transactions, counterparty risk measurement, and portfolio-level credit risk.
Stress testing and CCAR: Demonstrated experience executing stress-testing activities, interpreting stressed exposures, supporting scenario analysis, and contributing to regulatory stress-testing deliverables.
Exposure analytics: Advanced knowledge of PFE, EPE, EAD, collateralization, netting structures, and model-generated exposure measurements.
Quantitative analysis: Ability to interpret complex datasets, identify meaningful exposure movements, challenge analytical results, and explain portfolio risk drivers.
Technical proficiency: Advanced Microsoft Excel capabilities and familiarity with analytical programming or reporting tools. Python and data visualization experience are advantageous.
Risk governance: Strong understanding of regulatory expectations, documentation standards, model governance, analytical controls, and risk reporting.
Stakeholder communication: Ability to translate technical risk analysis into concise, meaningful recommendations for senior management and nontechnical audiences.
Cross-functional collaboration: Experience working with Risk, Finance, Quantitative Modeling, Technology, and capital markets business partners.
Independent execution: Comfortable owning complex analytical deliverables, managing competing priorities, and influencing stakeholders without direct management authority.
Education: Bachelor's degree in Finance, Economics, Mathematics, Engineering, or another quantitative discipline.
