Associate – Counterparty Credit Risk

Bring your analytical expertise to a team that helps manage risk across some of the world's most complex financial markets. You'll work on challenging problems, develop innovative solutions, and contribute to critical risk management decisions. This role offers the opportunity to combine quantitative analysis, technology, and business insight while working with professionals across risk, credit, and front office teams. If you enjoy solving complex problems and driving meaningful impact, we'd love to hear from you.

As an Associate in Counterparty Risk, you will help evaluate, monitor, and mitigate counterparty credit risk exposure across a broad range of traded products, including derivatives and securities financing transactions. You will play a key role in developing and applying stress testing methodologies, designing stress scenarios, and enhancing risk infrastructure and reporting processes. Working closely with risk managers, credit officers, and business partners, you will contribute to effective risk measurement, analytics, and decision-making while helping drive strategic and regulatory initiatives.

Job Responsibilities

• Analyze and monitor counterparty credit risk exposures using quantitative models and risk management frameworks.
• Design, implement, and interpret stress testing scenarios to assess the impact of adverse market conditions and identify portfolio vulnerabilities.
• Conduct risk investigations, sensitivity analyses, and scenario-based assessments to support risk management and business decisions.
• Develop, enhance, and maintain tools and processes supporting credit risk assessment, stress testing, monitoring, and reporting.
• Collaborate with internal stakeholders to ensure accurate measurement, monitoring, and mitigation of risk exposures.
• Prepare and deliver clear presentations and reports for stakeholders, including senior management, highlighting key findings and recommendations.
• Leverage programming and automation solutions to improve efficiency, transparency, and governance across risk management processes.
• Develop analytics and dashboard capabilities that enhance monitoring, reporting, and decision-making while maintaining appropriate controls.
• Review, validate, and enhance methodologies, metrics, and scenario coverage through testing and analysis.
• Support data integration initiatives and technology enhancements that improve the effectiveness and scalability of risk management processes.
• Contribute to regulatory, audit, and strategic initiatives through analysis, documentation, testing, and implementation activities.

Required Qualifications, Capabilities, and Skills

• Bachelor's or Master's degree in Financial Engineering, Mathematics, Statistics, Physics, Engineering, Finance, Economics, or a related discipline.
• Experience in counterparty credit risk management, including exposure measurement, scenario analysis, or stress testing methodologies.
• Demonstrated knowledge of global financial markets and understanding of their impact on risk management activities.
• Proficiency in Python, Alteryx, C++, or similar programming tools used for data analysis and automation.
• Knowledge of artificial intelligence and large language model technologies and their practical application to analytical workflows.
• Experience using Tableau or similar visualization tools to develop dashboards and communicate insights effectively.
• Strong presentation and communication skills with the ability to explain complex concepts to diverse audiences.
• Experience working with stress testing frameworks, including scenario development, validation, and result analysis.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work effectively in a collaborative team environment and manage multiple priorities.
• Curiosity, adaptability, and a commitment to continuous learning and process improvement.

Preferred Qualifications, Capabilities, and Skills

• Financial Risk Manager (FRM) certification or progress toward certification.
• Experience supporting regulatory stress testing programs.
• Experience implementing automation, workflow optimization, or advanced analytics solutions.
• Knowledge of counterparty exposure methodologies across multiple asset classes.
• Experience working with data governance, controls, or model validation activities.