Quantitative Trading & Research, Cross-Asset – Analyst

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. 

Join a world-class team at J.P. Morgan and help shape the future of financial markets through quantitative research and innovation. This role offers exceptional career growth, exposure to cutting-edge methodologies, and the opportunity to collaborate with talented professionals globally. You will benefit from on-the-job training and have the chance to make a real impact on our business and clients. Be part of a team that values creativity, analytical thinking, and continuous learning.

As an Analyst within the Quantitative Trading & Research team, you will be partner with business leaders to develop and maintain sophisticated mathematical models and analytical tools. You will collaborate closely with trading desks, product managers, and technology teams to create solutions that drive performance and manage risk. Your work will contribute to the development of innovative financial products and effective risk management strategies. We value teamwork, open communication, and commitment to excellence. Join us to advance your career and make a difference in the financial industry.

Job responsibilities

• Develop and implement mathematical models in Python and C++ for pricing and risk management
• Build and maintain software and tools for real-time pricing and relative value strategies
• Collaborate with risk functions to develop models for market and credit risk across various business lines
• Write clear and comprehensive documentation for model specifications and implementation testing
• Partner with trading desks, product managers, and technology teams to create quantitative trading models
• Ensure compliance with regulatory requirements through effective model development and testing
• Productionize machine-learning models, including training workflows, model versioning, real-time inference, deployment automation, observability, and rollback controls

Required qualifications, capabilities, and skills

• Master’s degree in financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields
• 1 year of experience in a related quantitative or analytical role, including research experience obtained through master's or Ph.D. studies.
• 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 (C++ or Java) and Python
• Knowledge of data structures and algorithms
• Ability to think strategically and creatively when solving problems
• Excellent verbal and written communication skills
• Experience writing technical documentation
• Ability to work collaboratively in a team environment
• Demonstrated commitment to professional growth and learning
• Experience working in a fast-paced, dynamic environment

Preferred qualifications, capabilities, and skills

• Knowledge of financial products and asset classes such as Fixed Income, Credit, Commodities, and Equities
• Background in computer algorithms and specialization in low-level systems (operating systems, compilers, GPUs)
• Familiarity with options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing
• Experience developing models for market and credit risk
• Exposure to regulatory compliance in financial modeling
• Advanced skills in Python and quantitative analysis