Multi-Strategy Quant Hedge Fund is seeking a Head of Central Team Lead in New York. This individual will lead its centralized research and trading teams, including high-frequency trading and futures/macro. The role owns research quality, shared infrastructure, and the team’s structure and priorities, and it includes managing strategy leads and advising the head of the quant business on long-term strategy.
Responsibilities
- Leading a Central Team, overseeing multiple centralized investment and research teams (e.g., high frequency trading, futures/macro)
- Maintaining accountability for research quality, production quality, scalability of shared infrastructure, and long-term contribution to PnL
- Overseeing development and maintenance of shared research capabilities and infrastructure, ensuring work is robust, repeatable, well-documented, and production-ready
- Scaling the Central Team, shaping its structure, scope, operating norms, and research priorities to support the firm’s evolving needs
- Managing Central Team strategy leads, maintaining high standards for research rigor, judgment, talent development, and risk management
- Partnering with other senior members of the firm to pilot and institutionalize priority research and infrastructure capabilities within the Central Team, ensuring successful approaches scale effectively across the broader platform
- Acting as a thought partner to senior management on overall strategy and long-term priorities
Requirements
- 15+ years in quantitative investing, with experience in systematic research and production environments
- 5+ years of management experience, ideally of multiple PMs or research teams
- Demonstrated ability to lead multi-team research efforts or platform-level investment initiatives
- Experience building quantitative research processes across data, modeling, portfolio construction, and execution
- Track record of partnering effectively with senior leaders across investment and operations to build and scale a business
- Sound judgment, discretion, and credibility when working with sensitive investment processes and performance information