Job Description
Counterparty Risk (CCR), part of Wholesale Credit Risk, is responsible for measuring and monitoring counterparty exposures across OTC derivatives (cleared and non-cleared), Futures and Options, Securities Financing, Securities Prime Services, CCPs and Commodities. The broader CCR organization oversees exposure measurement, risk monitoring and escalation, ad hoc risk investigations and analyses, assessment of collateral and margin arrangements, ownership of credit exposure metrics, and the development and maintenance of related exposure calculation and reporting capabilities. This is a dynamic area of risk management at the intersection of markets, analytics, controls, and technology, offering broad product exposure and the opportunity to contribute to high-impact risk and transformation initiatives.
As a member of the Risk Controls, Projects and Transformation team within CCR, the Analyst/Associate will play a key role in strengthening the team’s control framework, enhancing portfolio-level risk management processes, and advancing strategic transformation priorities. The role offers a broad platform across risk oversight, portfolio analytics, process improvement, and cross-functional delivery, with interaction across Quantitative Research, Technology, Product, Credit Officers, and other stakeholders.
Job Responsibilities
- Support and enhance the team’s risk control framework, including oversight of Risk Not In Stress (RNIS) and Risk Not In Peak (RNIP) and related control processes
- Oversee and challenge model compensating controls to ensure appropriate governance, monitoring and escalation of exposure-related adjustments
- Monitor and manage portfolio thresholds at an aggregate or portfolio level, investigate significant movements, and provide clear analysis and recommendations
- Perform ad hoc risk investigations and thematic analyses in response to market events, business questions, control reviews, or senior management requests
- Drive projects and transformation initiatives aimed at improving team efficiency, control robustness, data quality, and workflow effectiveness
- Develop and maintain analytical tools and automation solutions using Python, AI/LLM-enabled techniques where relevant, and other data tooling to streamline reporting, monitoring, and analysis processes and support more efficient decision-making
- Leverage platforms such as Tableau, Alteryx, and related technologies to improve transparency, scalability, and delivery of management information
- Partner with Technology and other teams across Wholesale Credit Risk to support strategic enhancements in data, analytics, automation, and emerging capabilities
- Collaborate closely with Quantitative Research, Technology, Product, Credit Officers, and other stakeholders to review methodologies, improve processes, and address risk management priorities
- Support regulatory, audit, governance, and control-related deliverables as needed
- Work across a broad range of products and counterparty types, contributing to consistent and effective risk oversight across the CCR portfolio
Required qualifications, capabilities, and skills
- Bachelor’s degree in a discipline such as Financial Engineering, Mathematics, Physics, Statistics, Engineering, Finance and/or Economics
- Strong analytical and problem-solving skills, with the ability to synthesize complex risk information, identify practical solutions, and communicate insights clearly to different audiences
- Proficiency in Python programming and SQL, and experience using data and visualization tools such as Tableau, Alteryx, ThoughtSpot, or similar platforms to support analytics, automation, and process improvement
- Good understanding of derivatives (bilateral and cleared), Futures and Options, Securities Financing, Prime Services, and related counterparty credit risk products
- Understanding of key CCR concepts, including exposure measurement, PFE, collateral and margin, model overlays or compensation, portfolio thresholds, RNIS, RNIP, and stress or sensitivity analysis across asset classes
- Proficiency with MS Excel and strong comfort working with large data sets and analytical workflows
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-specialists and engage constructively with a broad stakeholder group
- Strong sense of accountability and ownership; self-motivated, control-minded, and confident in making, articulating, and challenging risk judgments where appropriate
- Ability to work effectively across functions and build strong partnerships with Quantitative Research, Technology, Product, Credit Officers, and other stakeholders
Preferred qualifications, capabilities, and skills
- Prior experience in market risk and/or counterparty risk, particularly in controls, analytics, portfolio management, collateral or exposure-related roles
- Experience supporting risk control frameworks, governance processes, model-related controls, or portfolio threshold management
- Experience delivering automation, reporting, or workflow improvement initiatives in a risk, analytics, or control environment, with the ability to translate business needs into practical solutions
- Experience designing or implementing AI/LLM-enabled solutions to support analytics, automation, or workflow enhancement is advantageous
- Familiarity with regulatory expectations, audit processes, and governance requirements relevant to counterparty credit risk is preferred
- Experience working across diverse stakeholders in a complex global organization is advantageous