JPMorgan Corporate & Investment Bank - Markets Quantitative 

China, Hong Kong, Hong Kong Island 

977779040

2025 Corporate & Investment Bank - Quantitative Research Analyst & Associate Program – Summer Internship - Hong Kong

Spend your internship working alongside our top tier professionals, driving innovation through financial engineering, derivatives modeling, asset and liability management and risk management. You'll help develop mathematical models, methodologies and tools used throughout the firm while gaining in-depth insight into the world of risk modeling, investment banking and the financial services industry.

What to expect

Our 2025 Analyst & Associate internship program in Hong Kong has a duration of 6 months or depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.

Derivatives Pricing, Risk Management & Electronic Execution

You’ll contribute to the firm’s product innovation, effective risk management, and financial and risk controls. Specially, you’ll have the chance to:

• Develop mathematical models for pricing, hedging and risk measurement of derivatives securities;
• Develop mathematical models for algorithmic trading strategies as well as Delta-One trading strategies or 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 for new trading ideas;
• Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk;
• Implement risk measurement, valuation models or algorithmic trading modules in software and 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.

Data Analytics

Closely embedded within the business, we drive change through innovation and business process optimization using state-of-the-art machine learning techniques such as collaborative filtering, deep learning and reinforcement learning. Our activity touches all aspects of the business from sales and client interaction, to risk management, inventory and portfolio optimization, electronic trading and market making. If you are talented graduates in machine learning and related fields who want to join the transformation of our investment bank into a data-led business, you’ll have the chance to:

• Contribute directly to the business and client franchise; identify and generate revenue opportunities
• Understand the market drivers behind market moves and their cross-asset and cross-market implications
• Work with cutting edge technology and analytics to infer pricing, hedging and idea generation
• Conduct quantitative research on medium to high frequency trading strategies
• Develop portfolio construction methodologies and new modeling approaches across our systematic businesses

Key Qualifications Include:

• Currently enrolled in Ph.D. or a Master’s degree program in Mathematics, Physics, Engineering, Computer Science, Machine Learning, Statistics or other quantitative fields
• Foundational knowledge of and proficiency in one or more programming languages (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 explaining technical material to a non-technical audience
• Expected graduation beyond December 2025

Desirable Skills Include:

• 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 that demonstrate the kind of person you are and the differences you could bring to the team.

Application Deadline

February 28th, 2025 (23:59 Beijing 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.

Please click here to complete the online application.

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

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding test, powered by HackerRank.

Completion of HackerRank is required. Your application will not be considered for further review until you have done so. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.