Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a Quantitative Research Analyst within Wholesale Credit Risk group, you will work in the newly formed Counterparty Credit Risk QR team that designs, manages & owns quantitative models and risk limit metrics such as Strategic Stressed Exposure (SSE), Potential Future Exposure. The team also owns back-testing procedures to control the risk associated with Central Clearing Counterparties (CCP). The mandate of CCR QR team is actively expanding with current scope including -
- Manage enhancements to the SSE framework which governs the computation, scenario design and monitoring as well as the impact quantification of risk drivers not being stressed adequately (Risk not in Stress).
- Developing statistical models and tools for the assessment and management of counterparty credit risk covering CCP related risk.
- Design and implement software framework for counterparty credit risk in Python, delivering results through dashboards.
- Partner with control teams for ongoing model and risk governance.
- Engage tech partners to deploy models to front end solutions.
Your key responsibilities in the role will include:
- Develop, support and enhance the SSE framework & its components that is used in managing counterparty risk stemming from trading book.
- Build understanding of Risk not in Stress (RNIS) framework by identifying & quantifying the impact of the risks not captured in existing stress scenarios.
- Leverage firm’s infrastructure to perform quantitative analysis on JPMSE portfolio.
- Jointly manage the life cycle of models with our risk and technology partners.
- Ongoing performance monitoring and governance of the calculation framework.
- Closely cooperate with the QR teams across the globe.
- Document modeling choices, theoretical arguments, testing and results.
Requirements
- Demonstrable relevant 1-3 years experience in Quantitative Research or Risk Modeling roles with an investment bank or financial institution. Familiarity with counterparty risk domain is preferred.
- Strong educational background in Quantitative discipline such as Master's/Ph.D in Financial Engineering, Operations Research, Statistics, Mathematics, Computer Science, Economics, or related field of study.
- Knowledge of financial instruments like OTC derivatives, Futures & Options, and Securities Financing Transaction (SFTs), along with understanding of risk management methodologies (VAR and stress testing) across all asset classes is highly preferred.
- Substantial programming skills expertise in Python & R. Working knowledge C++ is preferred.
- Familiarity with AI agentic coding would be a plus.
- Strong analytical mindset with excellent problem solving and data interpretation skills.
- Excellent communication skills with ability to verbally & logically articulate complex information. Interpersonal skills will be useful as projects can require interaction & synchronization with other teams.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- 1-3 years experience in Quantitative Research or Risk Modeling at an investment bank or financial institution
- Familiarity with counterparty credit risk domain
- Master's or Ph.D. in Financial Engineering, Operations Research, Statistics, Mathematics, Computer Science, Economics, or related field
- Knowledge of OTC derivatives, Futures & Options, Securities Financing Transactions, VAR and stress testing across asset classes
- Substantial programming expertise in Python and R
- Working knowledge of C++
- Familiarity with AI agentic coding
- Strong analytical, problem solving and data interpretation skills
- Excellent verbal and written communication and interpersonal skills
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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