A leading investment organization is seeking an experienced research leader to oversee the development and execution of systematic investment strategies. This individual will manage a team of researchers focused on identifying alpha opportunities, enhancing research methodologies, and advancing the firm's quantitative investment capabilities.
This role combines hands-on research, team leadership, and strategic collaboration across technology, trading, risk, and investment functions.
What You'll Tackle:- Lead and mentor a team of quantitative researchers focused on systematic strategy development.
- Drive the discovery and evaluation of new datasets, signals, models, and research methodologies.
- Oversee the design, testing, validation, and implementation of systematic investment strategies.
- Partner with technology teams to improve research infrastructure, simulation environments, and production systems.
- Collaborate with trading, operations, and risk teams to support strategy deployment and monitoring.
- Establish research standards, controls, and best practices to ensure robust and scalable investment processes.
- Present research findings, strategic initiatives, and portfolio insights to senior leadership.
- Contribute to long-term investment innovation and platform growth initiatives.
QUALIFICATIONS- Significant experience developing and implementing systematic or quantitative investment strategies.
- Demonstrated success leading research teams in investment management, quantitative finance, or related environments.
- Strong quantitative, analytical, and problem-solving capabilities.
- Advanced knowledge of statistical analysis, modeling techniques, and research methodologies.
- Strong programming skills, preferably in Python.
- Experience working with large datasets, research platforms, and quantitative modeling frameworks.
- Ability to communicate complex concepts to both technical and non-technical audiences.
- Advanced degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or a related quantitative discipline preferred.
PREFERRED EXPERIENCE- Experience working with portfolio construction, optimization, or risk management frameworks.
- Familiarity with large-scale research infrastructure and distributed computing environments.
- Experience developing systematic strategies across multiple asset classes.
- Background in machine learning, alternative data, or advanced analytics techniques.
- Experience scaling and mentoring high-performing research teams.
What Success Looks Like:- Delivery of innovative and scalable investment strategies.
- Development of a high-performing research organization.
- Strong collaboration across research, technology, trading, and risk functions.
- Continuous enhancement of research processes, infrastructure, and investment capabilities.
- Meaningful contribution to long-term investment performance and organizational growth.