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INTERNSHIP DETAILS

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

CompanyJPMorgan Chase & Co.

LocationSingapore

Work ModeOn Site

PostedSeptember 13, 2026

Internship Information

Core Responsibilities

You will develop and implement mathematical models for pricing, hedging, and risk management while collaborating with traders and risk managers. Additionally, you will apply machine learning and advanced analytics to enhance electronic trading, portfolio optimization, and client engagement.

Internship Type

full time

Company Size

238010

Visa Sponsorship

Yes

Language

English

Working Hours

40 hours

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About The Company

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About the Role

Quantitative Trading & Research (QTR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management.

Over the duration of 3 - 6 months, you’ll 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 your individual achievements, those who successfully complete the program may receive offers of full-time employment.

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.

Required qualifications, capabilities and skills:

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

Preferred qualifications, capabilities and skills:

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

Application Deadline

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.

Join us

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.

Please click here to complete the online application.

What’s next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are for us to initially get to know you, so it’s important to complete all relevant application questions so we have as much information about you as possible.

After you confirm your application, we will review it to determine whether you meet certain required qualifications.

JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodation for known disabilities.

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

J.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.

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.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Key Skills

Quantitative modelingFinancial engineeringData analyticsStatistical modelingPortfolio managementMachine learningPythonJavaJavaScriptC++C#Derivatives pricingRisk managementAlgorithmic tradingHigh performance computingStochastic calculus