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Tailor your resume to this Senior Counterparty Credit Risk Analyst – Stress Testing & CCAR (VP Level) role.

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Tailor your resume to this Senior Counterparty Credit Risk Analyst – Stress Testing & CCAR (VP Level) role.

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About the Role

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.

Responsibilities

• 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.
• Monitor counterparty credit risk appetite measures, early-warning indicators, exposure thresholds, and potential breaches.
• 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

• 7–10+ years of relevant experience in counterparty credit risk, quantitative risk analysis, stress testing, or closely related capital markets risk functions.
• Strong understanding of derivatives exposure, securities financing transactions, counterparty risk measurement, and portfolio-level credit risk.
• Demonstrated experience executing stress-testing activities, interpreting stressed exposures, supporting scenario analysis, and contributing to regulatory stress-testing deliverables.
• Advanced knowledge of PFE, EPE, EAD, collateralization, netting structures, and model-generated exposure measurements.
• Ability to interpret complex datasets, identify meaningful exposure movements, challenge analytical results, and explain portfolio risk drivers.
• Advanced Microsoft Excel capabilities and familiarity with analytical programming or reporting tools.
• Strong understanding of regulatory expectations, documentation standards, model governance, analytical controls, and risk reporting.
• Ability to translate technical risk analysis into concise, meaningful recommendations for senior management and nontechnical audiences.
• Experience working with Risk, Finance, Quantitative Modeling, Technology, and capital markets business partners.
• Comfortable owning complex analytical deliverables, managing competing priorities, and influencing stakeholders without direct management authority.

Skills

• Python
• Data visualization

Location

• New York, NY

Work Type

• Hybrid
• Contract

Experience Level

• Senior-level individual contributor
• Vice President level

Education Level

• Bachelor's degree in Finance, Economics, Mathematics, Engineering, or another quantitative discipline.
• Master's degree
• Chartered Financial Analyst (CFA) certification
• Financial Risk Manager (FRM) certification

About the Company

• 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.