Machine Learning Specialist (Systematic Trading)

TL;DR

Machine Learning Specialist (Systematic Trading): Apply cutting-edge ML techniques to enhance trading strategies and infrastructure with an accent on alpha generation, execution, and risk management. Focus on end-to-end ML research pipeline from feature extraction to production deployment across equities, macro, volatility, commodities, FX, and credit.

Location: London, New York

Salary: Up to $300,000 Total Compensation

Company

A leading systematic hedge fund known for its collaborative, research-driven culture, highly selective Ivy League/Oxbridge team, and multi-strat, multi-asset approach.

What you will do

• Develop and apply ML solutions to integrate into alpha generation, execution, and risk management.
• Collaborate with quant researchers, traders, and engineers across asset classes and strategies.
• Own the end-to-end ML research pipeline from feature extraction to production deployment.
• Leverage advancements in deep learning, NLP, reinforcement learning, and other AI techniques.
• Apply ML methodologies across equities, volatility, commodities, FX, and credit.

Requirements

• PhD or Master’s in Machine Learning, Computer Science, Applied Mathematics, or related field with strong publication record in top ML/AI conferences.
• First-principles thinking to craft ML solutions for high-performance trading environments.
• Extensive experience in NLP and feature engineering for scalable data analysis and signal generation.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and distributed computing.
• Quantitative finance exposure preferred over pure AI/ML backgrounds.