2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months)

The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the companys vast and unique datasets.

As a 2026 Machine Learning Center of Excellence Summer Associate within our dynamic team you will be given the chance to utilize advanced machine learning techniques across a range of intricate domains such asfinance banking economics marketing natural language processing reinforcement learning accounting operations management

Job responsibilities:

• Create strategically important AI/ML application in the Chief Data & Analytics office. Our work spans across all of J.P. Morgans lines of business including Commercial & Investment Bank Asset Wealth Management Consumer & Community Banking and through every part of the organization from front office sales and trading to operations technology finance and more.
• Embrace opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
• Collaborate closely with our MLCOE mentors business professionals and technologists carrying out independent research and providing solutions to the business.
• Demonstrate deep passion for machine learning robust expertise in deep learning with practical implementation experience and a dedication to learning researching and experimenting with innovations in the field.

Required qualifications capabilities and skills

• Enrolled in or completed a PhD in a quantitative discipline e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization Data Science or related fields or equivalent research or industry experience. We especially welcome post-doctoral students or people interested in a change of career as well.
• Strong background in ProgrammingMathematics and Statistics.
• Published research in areas ofmachine learning science engineering quantitative psychology or business related areas.
• Expected PhD graduation date of December 2026 through August 2027 or already graduated.
• Familiarity with state-of-the-art practice in these domains or knowledgesuch asFinanceEconomics Accounting Marketing Operation Research.
• Good background in various fields of mathematics and statistics such asStochastic Calculus Bayesian techniques Statistics State-Space models MCMC MCTS
• Knowledge and experience withMachine Learning andReinforcement Learning methods.
• Proficient in Python and experience with machine learning and deep learning toolkits such asTensorFlow TensorFlow Probability and Jax.
• Scientific thinking ability to design experiments and training frameworks and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Ability to develop and debug production-quality code.
• Familiarity with continuous integration models and unit test development.
• Familiarity with the financial services industries
• Innovative problem-solvers with a passion for developing solutions that support our global business.
• Curious hardworking detail-oriented and motivated by complex analytical problems.
• Ability to work both independently and in highly collaborative team environment
• CFA ACCA or any other finance and accounting qualifications
• PCAP or any other programming or software engineering qualifications. Do mention any Coursera or other online certificates in your CV.