Corporate & Investment Bank / Markets Quantitative Analytics Program – Summer Associate (Start ASAP)

Your Role

Corporate & Investment Bank Quantitative Research (QR)

Quantitative Research (QR) 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. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

Derivatives Pricing, Risk Management & Electronic Execution 

The candidate will contribute to the firm’s product innovation, effective risk management, and financial and risk controls. Specially, they will 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 implement 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, they 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. Their 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 the candidate is a talented graduate in machine learning and related fields who wants to join the transformation of our investment bank into a data-led business, they will 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

About You

They are looking for innovative problem-solvers with a passion for developing complex solutions that support our global business. 

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#.)
• The candidate can demonstrate quantitative and problem-solving skills as well as research ability
• The candidate is 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 modeling (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, the candidate is interested in the things that make them unique: personal qualities, outside interests, and achievements beyond academia and profession that demonstrate the kind of person they are and the differences they could bring to the team

Benefits

For a full-time employee, the following benefits apply:

• Health and wellness
• Financial health
• Support for Family Development 
• Skills-based volunteer programs
• Paid time off
• Mentorship initiatives 
• Employee engagement activities 

Training & Development

As a Summer Associate in the Markets Quantitative Analytics Program, you will be part of a dynamic team, helping to solve a range of challenging and interesting business issues. This program is an opportunity to take your career to the next level through hands-on experience, relevant skills training, and valuable professional networking.

Career Progression

The program is an opportunity to take one's career to the next level through hands-on experience, relevant skills training, and valuable professional networking. Based on the candidate's performance and achievements, they may receive an offer of full-time employment upon completion of the internship program. 

Sources

The following sources were used in researching this page:

• jpmorganchase.com/careers/work-with-us#benefits
• jpmorganchase.com/careers/how-we-hire
• youtube.com/@jpmorgan