AI / ML Quantitative Research Manager
About The Position
Graham Capital Management, L.P. is seeking an AI/ML Quantitative Research Manager to join their Quantitative Strategies team. This role will lead collaborative AI/ML team research efforts, reporting to and working closely with the Chief Investment Officer of Quantitative Strategies. The manager will 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. The goal is to maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management, and portfolio optimization.
Requirements
- PhD or MS in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, or a related AI/ML discipline)
- 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 strongly desired but secondary to AI technical expertise
- Demonstrated fundamental research experience in AI/ML (e.g., publications, conference presentations)
- Advanced programming experience in languages suited for quantitative research and strategy implementation
- Ability to synthesize complex topics into easily digestible verbal and written commentary
Nice To Haves
- Exposure to securities and derivatives markets and investment processes with knowledge in mid-to-low frequency systematic strategies (preferred)
- Experience managing a team of quantitative researchers is a plus
Responsibilities
- Work directly with the CIO-Quantitative Strategies to shape the long‑term AI/ML research roadmap
- Design, prototype, and develop production‑grade AI/ML models that ingest large‑scale alternative data sets to generate tradable signals to make existing trading signals more efficient, profitable and robust
- Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of AI/ML research, production versions of trading systems, and ensure models are robust, scalable, and compliant
- Interact with other departments – data science, technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately
- Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients
- Identify and integrate novel big‑data sources into the firm’s data pipeline
- Produce white‑papers, internal presentations, and external publications on AI/ML advances; deliver presentations at industry conferences
- Regularly present findings and ideas to management and investment committee
- Complete other projects as requested by senior management
Benefits
- medical and life insurance
- 401(K) plans
- access to other healthcare programs
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What This Job Offers
Job Type
Full-time
Career Level
Manager
