JOB DESCRIPTION

Join a world-class team at J.P. Morgan and make an impact in quantitative research. This role offers exceptional career growth, exposure to cutting-edge methodologies, and the opportunity to work alongside talented professionals. You will help shape the future of algorithmic trading, financial products' valuation and risk management, while benefiting from ongoing training and development. Be part of a collaborative environment where your skills and ideas drive innovation.

As a Quantitative Research Associate in the Quantitative Research team, you partner with business leaders to develop and maintain sophisticated mathematical models. You work closely with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You also collaborate with control functions to ensure compliance with regulatory requirements. Your work directly contributes to product innovation, risk management, and the firm's global leadership in financial engineering.

Job Responsibilities

• Develop and maintain mathematical models to value and hedge financial transactions, from vanilla products to complex derivatives
• Improve algorithmic trading strategies and promote advanced electronic solutions for clients worldwide
• Collaborate with risk functions to develop models for market and credit risk across various business lines
• Build methodologies and infrastructure to implement models in production environments
• Write clear documentation covering model specifications and implementation testing
• Partner with trading desks, product managers, and technology teams to create analytical tools
• Ensure compliance with regulatory requirements through collaboration with control functions
• Contribute to portfolio risk measurement methodologies and quantification of credit and market risk exposures
• Support ongoing innovation in financial engineering and quantitative modeling
• Participate in on-the-job training and professional development opportunities

Required Qualifications, Capabilities, and Skills

• Ph.D or Master's degree in financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields
• 2 years of experience in a related quantitative or analytical role
• Strong quantitative, analytical, and problem-solving skills
• Solid background in calculus, linear algebra, probability, and statistics
• Proficiency in at least one object-oriented programming language (e.g., C++ or Java) and strong skills in Python
• Knowledge of data structures, algorithms and AI technologies
• Ability to work independently and in a team environment
• Strategic and creative thinking in problem-solving
• Excellent verbal and written communication skills, with the ability to engage and influence stakeholders

Preferred Qualifications, Capabilities, and Skills

• Experience with markets and general trading concepts and terminology
• Knowledge of financial products in commodities and other macro asset classes
• Background in computer algorithms, Python, and specialization or significant coursework in network engineering
• Understanding of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing

ABOUT US

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.


ABOUT THE TEAM

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.