AI/ML Quant Research Manager - Shape Trading Signals

United States Digital Space LLC; Greater London; On-site; GBP 186,000 - 223,000; Full time

Benefits offered by this job

Discretionary annual bonus

Medical and life insurance

401(K) plans

Job summary

Graham Capital Management, L.P. is seeking an AI/ML Quantitative Research Manager to join our Quantitative Strategies team and lead collaborative AI/ML research efforts.

This individual will report into and work closely with our Chief Investment Officer of Quantitative Strategies to assess existing AI/ML capabilities, define a research agenda to improve AI/ML capabilities in current systematic trading systems, and create new AI/ML trading signals to complement and diversify the firm’s main

Qualifications

• PhD or MS in a quantitative field (e.g., Computer Science, ML, Statistics).
• 7+ years of hands-on AI/ML research and production deployment in a quantitative or data-science environment.
• Strong understanding of systematic trading concepts; financial experience is valuable but secondary to AI expertise.
• Demonstrated fundamental AI/ML research experience (publications, presentations).
• Advanced programming experience in languages suited for quantitative research and strategy implementation.

Responsibilities

• Shape the long-term AI/ML research roadmap with CIO-Quantitative Strategies.
• Design, prototype, and deploy production-grade AI/ML models for trading signals.
• Collaborate across departments to implement, monitor, and optimize ideas.
• Identify and integrate novel data sources into the data pipeline.
• Produce papers and presentations for internal and external audiences.
• Present findings to management and investment committees.

Skills

Quantitative research

AI/ML production

Leadership

Programming

Communication

Finance fundamentals

Education

PhD or MS in quantitative field

Tools

Python

C++

Job description

Graham Capital Management, L.P. is seeking an AI/ML Quantitative Research Manager to join our Quantitative Strategies team and lead collaborative AI/ML research efforts.

This individual will report into and work closely with our Chief Investment Officer of Quantitative Strategies to assess existing AI/ML capabilities, define a research agenda to improve AI/ML capabilities in current systematic trading systems, and create new AI/ML trading signals to complement and diversify the firm’s main