Markets Quantitative Trading & Research Analyst Program - Off-Cycle Internship

Job Responsibilities

• As an associate in Quantitative Trading & Research (QTR), you will get exposure across Derivatives Pricing, Risk Management & Electronic Execution and Systematic, Data-Driven Trading Analytics teams that drive innovation and process optimization using machine learning (e.g., collaborative filtering, deep learning, reinforcement learning) across sales/client engagement, risk, portfolio optimization, and electronic trading/market making.
• Partner with traders, marketers, and risk managers across products and regions to promote sales, client interaction, product innovation, valuation, and risk management.
• Develop and implement mathematical models for pricing, hedging, and risk measurement of derivative securities, as well as models for algorithmic and Delta-One strategies and inventory management.
• Support both OTC and electronic trading activities by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools, and researching new trading ideas. .
• Assess the appropriateness and limitations of quantitative models, monitor associated model risk, and implement valuation, risk, and trading models in production systems.
• Design efficient numerical algorithms and implementing high performance computing solutions; design and develop software frameworks for analytics and their delivery to systems and applications.
• You will apply machine learning and other advanced analytics to enhance sales and client engagement, risk management, portfolio optimization, and electronic trading and market making.
• Contribute to business outcomes and client franchise; identify revenue opportunities; develop market intuition, including cross-asset impacts.
• You will apply advanced analytics to pricing, hedging, and idea generation; research medium to high-frequency trading strategies; develop portfolio construction methods and new systematic modeling approaches.

• Expected graduation beyond December 2027
• Currently pursuing a Master's in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science, Machine Learning, Statistics)
• Proficiency in at least one programming language (e.g., Python, Java, JavaScript, C++, C#)
• You demonstrate quantitative and problem-solving skills as well as research ability
• You are good at communicating concepts and ideas, both verbally and via documentation, and explain technical concepts to non-technical audiences

• Understanding of advanced mathematics arising in financial modelling (probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, machine learning, statistics, econometrics...)
• Knowledge of options pricing theory, trading algorithms or financial regulations
• Beyond that, we're interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession
• Candidates requiring visa sponsorship may apply

29 November (23:59 Singapore time)

Applications will be reviewed on a rolling basis.

We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.

At JPMorgan Chase, we're creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you are passionate, curious and ready to make an impact, we are looking for you.

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your…