2027 Markets Quantitative Trading & Research Associate Program – Off-Cycle Internship - Singapore

Quantitative Trading & Research (QTR) Internship Program

Quantitative Trading & Research (QTR) is a quantitative modeling group within J.P. Morgan and a leader in financial engineering, data analytics, statistical modeling, and portfolio management. The program is for innovative problem-solvers who enjoy building complex solutions that support global business.

Over the duration of 3–6 months, you will build mathematical models and tools, gain exposure to risk modeling and investment banking, and develop through hands-on projects, mentorship, and a speaker series. Based on individual achievements, successful candidates may receive offers of full-time employment.

Job Responsibilities

• As an associate in Quantitative Trading & Research (QTR), gain exposure across Derivatives Pricing, Risk Management & Electronic Execution, and Systematic, Data-Driven Trading Analytics teams, which 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, including 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, conducting scenario analyses, developing and delivering quantitative tools, and researching new trading ideas.
• Assess the appropriateness and limitations of quantitative models, monitor model risk, and implement valuation, risk, and trading models in production systems.
• Design efficient numerical algorithms and implement high-performance computing solutions; design and develop software frameworks for analytics and delivery to systems and applications.
• Apply machine learning and other advanced analytics to enhance sales and client engagement, risk management, portfolio optimization, and electronic trading/market making.
• Contribute to business outcomes and the client franchise by identifying revenue opportunities and developing market intuition, including cross-asset impacts.
• 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.

Required Qualifications, Capabilities and Skills

• Expected graduation beyond December 2027.
• Currently pursuing a Ph.D. 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#).
• Demonstrated quantitative and problem-solving skills and research ability.
• Strong communication skills—ability to explain technical concepts verbally and via documentation, including to non-technical audiences.

Preferred Qualifications, Capabilities and Skills

• Understanding of advanced mathematics arising in financial modeling (e.g., probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, machine learning, statistics, econometrics).
• Knowledge of options pricing theory, trading algorithms, or financial regulations.
• Personal qualities, outside interests, and achievements beyond academia and profession.
• Candidates requiring visa sponsorship may apply.

Application Deadline

29 November (23:59 Hong Kong time)

Applications will be reviewed on a rolling basis. You are encouraged to submit your application as early as possible, as programs may close once positions are filled.

What’s Next

Submit a complete and thoughtful application, including your resume. After you confirm your application, it will be reviewed to determine whether you meet certain required qualifications.