2024 Corporate & Investment Bank - Markets Quantitative Research Associate Program – Summer Internship - China
JPMorgan Chase
- China
- Training
- Part-time
- 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.
- 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
We are looking for innovative problem-solvers with a passion for developing complex solutions that support our global business.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 with an expected graduation date beyond December 2024.
- 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
- 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