Quantitative Trading and Research - AI Machine Learning Researcher - Associate

JPMorgan Chase & Co.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Singapore seeks an experienced AI/ML researcher to join the Automated Trading Strategies (ATS) group. You will advance systematic trading across FX, Rates, Commodities, and Credit, focusing on data featurization, architecture, training dynamics, and trading decision processes.

Your work goes straight into production trading with P&L responsibility. You will work within a small, independent team, leveraging strong data and engineering support to pursue impactful research

Qualifications

• Advanced degree in ML, statistics, CS, or engineering.
• At least 1 year of ML/DL research experience.
• Experience with PyTorch or TensorFlow.
• Ability to compare alternatives and choose the best path forward.

Responsibilities

• Apply AI/ML model to find predictive patterns from large datasets.
• Integrate prediction models into existing strategies or set up new ones.
• Contribute to AI/ML libraries and production algo systems.

Skills

ML Research

Problem Solving

Tradeoffs analysis

Education

Advanced degree in ML/CS/Engineering

Tools

PyTorch

TensorFlow

Job description

We are seeking experienced AI\\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.

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

• Advanced degree (Masters, PhD, or equivalent) in Machine learning, Mathematics & Statistics, Computer Sciences, Engineering or related fields.
• At least 1 year 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.