Automated Trading Strategies - AI Machine Learning Researcher - Associate
at J.P. Morgan
Posted 17 days ago
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Join the Automated Trading Strategies team to apply advanced AI/ML methods to systematic trading across FX, Rates, Commodities, and Credit. You will develop and refine models (featurization, architectures, training, and decision processes) and integrate them into production trading systems with P&L responsibility. The role offers substantial independence, computational resources, and support from data and engineering teams to deploy research into live strategies. Work includes contributing to shared AI/ML libraries and production algo systems.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
We are seeking experienced AI Machine Learning (ML) experts to join our team to accelerate our efforts on applying latest AI\ML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision. Your work will be deployed directly into production trading with P&L responsibility. It will be challenging: this is a field with no easy or obvious solutions.
Job Summary
As an Associate in the Automated Trading Strategies (ATS) group, you are responsible for systematic trading across FX, Rates, Commodities, and Credit markets. You will focus on enhancing every aspect of our models, including data featurization, architecture design, training dynamics, and trading decision processes. You will be part of a rapidly expanding team, gaining a comprehensive understanding of market making and exchange trading, encompassing alpha generation, portfolio construction/optimization, and trade execution algorithms.
Job Responsibilities
- Apply AI\ML model to find predictive pattern from large dataset
- Integrate prediction model into existing strategies or setup new one
- Contribute to team’s AI\ML libraries as well as production algo system
Required qualifications, capabilities, and skills
- Experience in machine learning and deep learning research for any domain.
- Relevant experience using frameworks such as PyTorch, TensorFlow and equivalent programs.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
Preferred qualifications, capabilities, and skills:
- Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python is a plus.
- Finance experience is not required.
