JPMorgan Corporate & Investment Bank - Markets Quantitative 

China 

20571523

What to expect

This internship provides an opportunity to collaborate with our top professionals in financial engineering, derivatives modeling, asset and liability management, and risk management. You'll contribute to the development of mathematical models and tools used firm-wide, gaining comprehensive knowledge of risk modeling and investment banking. The 6-month program, based in Beijing or Shanghai, supports your academic growth through project work, mentorship, and interactions with senior leaders. Successful completion could open doors to full-time roles in Corporate & Investment Bank Quantitative Research, a leading group in J.P. Morgan for financial engineering and portfolio management.

As a 2025 Corporate & Investment Bank - Markets Quantitative Analytics Program – Summer Associate in China, you will be working alongside our top tier professionals, promoting innovation through financial engineering, derivatives modeling, asset and liability management and risk management. You will have the opportunity to 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.

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

Required qualifications, capabilities and skills

• Currently enrolled in Ph.D. or a Master’s degree program in Mathematics, Physics, Engineering, Computer Science, Machine Learning, Statistics or other quantitative fields with an expected graduation date beyond December 2025.
• 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
• Holding the permanent right to work in Mainland China is required

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

Application Deadline

April 30th, 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.