Counterparty Credit Risk - Collateral and Margin Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Counterparty Risk professional within Wholesale Credit Risk in New York.

The role focuses on measuring and monitoring exposures across OTC derivatives, Futures and Options, Securities Financing, Prime Services, CCPs and related products, offering broad product exposure and opportunities to influence risk strategies. You will conduct margin investigations, support data-driven decisions, and collaborate with Quantitative Research, Technology, and Credit Officers

Qualifications

• Bachelor's degree in Financial Engineering, Mathematics, Physics, Statistics, Engineering, Finance and/or Economics.
• At least 3 years of experience in OTC Derivatives in a Trading, Counterparty Risk, Market Risk, or Quantitative role in financial services.
• Strong analytical and problem‑solving skills; ability to synthesize complex risk information, communicate insights clearly.
• Proficiency in Python programming and SQL, and experience using data and visualization tools such as Tableau, Alteryx, ThoughtSpot, or similar platforms.
• 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, margin methodologies, ISDA CSAS and Collateral Eligibility.
• 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.

Responsibilities

• Perform margin investigations, liquidity analysis on collateral pool, negotiation of Eligible collateral schedule
• Perform deep dives in regulatory margin and collateral requirements
• 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

Skills

Analytical skills

Python

SQL

Tableau

Alteryx

ThoughtSpot

Derivatives knowledge

Risk management

Communication

Collaboration

Problem solving

Education

Bachelor's degree in Financial Engineering, Mathematics, Physics, Statistics, Engineering, Finance and/or Economics

Tools

Tableau

Alteryx

ThoughtSpot

Excel

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 Collateral and Margining within CCR, you will play a key role in strengthening the team's control framework, performing margin investigations and negotiating ISDA CSAs. 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.

Required qualifications, capabilities, and skills

• Bachelor's degree in a discipline such as Financial Engineering, Mathematics, Physics, Statistics, Engineering, Finance and/or Economics
• At least 3 years of experience in OTC Derivatives in a Trading, Counterparty Risk, Market Risk, or Quantitative role in financial services
• 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, margin methodologies, ISDA CSAS and Collateral Eligibility
• 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

Job Responsibilities

• Perform margin investigations, liquidity analysis on collateral pool, negotiation of Eligible collateral schedule
• Perform deep dives in regulatory margin and collateral requirements
• 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

Preferred qualifications, capabilities, and skills

• Prior experience in market risk and/or counterparty risk particularly in collateral or exposure‑related roles
• 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