The Prime Financial Services (PFS) QTR team’s mission is to develop and maintain sophisticated mathematical models, methodologies, and production infrastructure to help the Prime business thrive across cash, stock borrow/loan, and synthetic financing.
As an Associate in PFS Quantitative Trading & Research team, you will work closely with PFS stakeholders (trading, technology, and risk) to identify opportunities to transform, automate, and optimize trading and risk/pricing workflows. The role covers both traditional prime inventory/collateral optimization and systematic trading and risk management, from research and prototyping through production deployment, monitoring, and performance analysis. Strong communication and ownership are critical, as you will regularly translate quantitative ideas into business impact and partner directly with senior desk stakeholders.
Job Responsibilities
- Partner with PFS desks to build data-driven analytics that automate and optimize risk, inventory, and financing decisions.
- Research and develop systematic strategies (signals, hedging, execution logic) supporting inventory trading, risk hedging, and client analytics.
- Build portfolio optimization frameworks for prime inventory, financing books, and hedging overlays (including constraints, transaction costs, and risk limits).
- Devise solutions for systematic book management and improved stability/usage of collateral and inventory.
- Contribute to the full lifecycle: idea generation, research, prototype, production implementation, controls, monitoring, and performance attribution.
- Perform scenario analysis, post-trade analysis, and investigations into model/algorithm behavior and historical performance.
- Build robust, maintainable quant libraries and pipelines integrated into the broader PFS ecosystem and tooling.
- Deliver quantitative insights that improve desk decision-making and operational efficiency.
- Maintain appropriate governance and control functionality for models and analytics in production.
Required Qualifications, Capabilities and Skills
- Minimum Master’s degree in a quantitative discipline (Math, Stats, Physics, Engineering, Computer Science, or similar).
- Minimum 3 years of relevant experience
- Experience in quantitative modeling in equities or closely related asset classes.
- Strong understanding of statistics, financial mathematics, and optimization (linear/convex/conic optimization preferred).
- Familiarity with PFS products (stock loan/borrow, cash financing, synthetic financing) and related market microstructure.
- Demonstrated ability to work with large, complex, high-dimensional data and deliver production-quality analytics.
- Strong software engineering skills with proficiency in Python and capabilities in efficiently delivering solutions leveraging Generative AI models.
- Experience with research-to-production delivery, including testing, monitoring, and performance measurement.
- Ability to communicate complex quantitative concepts clearly to trading and senior stakeholders.
- Strong ownership mindset, drive, and ability to work in a front-office environment.
Preferred Qualifications, Capabilities and Skills
- Experience applying machine learning methods to trading, forecasting, or risk problems.
- Prior work on execution algorithms, transaction cost modeling, or alpha/risk signal research.
- Experience with portfolio construction under real-world constraints (limits, liquidity, costs, borrow/financing constraints).
- Knowledge of kdb+/q is preferred (or willingness to learn quickly).
- Knowledge of C++ is a plus.
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
- Master's degree in a quantitative discipline (Math, Stats, Physics, Engineering, Computer Science, or similar).
- Minimum 3 years of relevant experience.
- Experience in quantitative modeling in equities or closely related asset classes.
- Strong understanding of statistics, financial mathematics, and optimization (linear/convex/conic optimization preferred).
- Familiarity with PFS products (stock loan/borrow, cash financing, synthetic financing) and related market microstructure.
- Ability to work with large, complex, high-dimensional data and deliver production-quality analytics.
- Strong software engineering skills with proficiency in Python and ability to leverage Generative AI models for solutions.
- Experience with research-to-production delivery, including testing, monitoring, and performance measurement.
- Ability to communicate complex quantitative concepts clearly to trading and senior stakeholders.
- Strong ownership mindset and ability to work in a front-office environment.
- Experience applying machine learning methods to trading, forecasting, or risk problems.
- Prior work on execution algorithms, transaction cost modeling, or alpha/risk signal research.
- Experience with portfolio construction under real-world constraints (limits, liquidity, costs, borrow/financing constraints).
- Knowledge of kdb+/q (preferred) or willingness to learn quickly.
- Knowledge of C++ (a plus).
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
.jpeg)
