Quantitative Trading & Research – Credit Portfolio – Quantitative Developer – Associate or Vice President
Quantitative Trading & Research (QTR) is an expert quantitative modelling group in J.P. Morgan. As a global team, QTR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Job summary:
We are seeking an experienced Associate or Vice President to join our Quantitative Trading & Research (QTR) team in London. Our mission is to develop analytics for the Credit Portfolio Group (CPG) which sits within the Markets division of the Commercial and Investment Bank (CIB).
About the Credit Portfolio Group (CPG):
CPG is responsible for managing the firm’s credit and funding valuation adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies. The group develops and maintains a large-scale Monte-Carlo engine in order to effectively manage these adjustments. Advanced numerical and computational techniques are used to achieve this including the use of Adjoint Analytic Differentiation (AAD).
Job Responsibilities:
As an Associate or a Vice President in the Quantitative Trading & Research – Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques.
This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable, efficient, production-grade solutions. As such, a strong quantitative background is not a key requirement for this role.
- Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio.
- Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities.
- Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure.
- Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment.
- Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs.
- Drive best practices in quantitative research, software development, and analytical rigor across the team.
Required qualifications, capabilities, and skills:
- Hands-on experience building and shipping software in an engineering or quantitative role, with a track record of taking solutions from idea to production
- Degree in a quantitative or engineering field such as Computer Science, Engineering, Mathematics, or Physics
- Demonstrate strong, practical programming skills, particularly in Python, with hands-on experience developing large-scale, production-grade systems and a willingness to learn and apply best coding practices
- A genuine problem solver who has personally designed and implemented working solutions to real problems in their role
- Ability to contribute to technical projects from conception through delivery, including architecture decisions and stakeholder management
- Support robust system and solution architecture, contributing to rigorous testing, verification, and adherence to best practices in design and implementation
- Solid software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards
- Strong communication and influencing skills, both verbal and written, with the ability to engage partners and stakeholders on complex and technical topics with clarity
Preferred qualifications, capabilities, and skills:
- Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science
- Markets experience and familiarity with general trading concepts and terminology
- Knowledge of options pricing theory, trading algorithms or financial regulations
- Experience with robust testing and verification practices
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- Hands-on experience building and shipping software in an engineering or quantitative role
- Degree in Computer Science, Engineering, Mathematics, Physics or related quantitative field
- Strong practical programming skills, particularly in Python, with experience developing production-grade systems
- Proven ability to design and implement solutions from conception through delivery, including architecture decisions
- Support robust system architecture with rigorous testing, verification, and code quality standards
- Solid software engineering, algorithm design, and development skills
- Strong verbal and written communication and stakeholder management skills
- Experience with Monte Carlo simulation and numerical techniques for risk sensitivities (CVA/FVA)
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.
-
Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
-
Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
-
Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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.
Gallery
