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Head of Systematic ETF Strategy Team

Madison-Davis

Stamford, NY

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JOB DETAILS
SKILLS
Best Practices, Communication Skills, Computer Programming, Computer Science, Computer Systems, Construction, Distributed Computing, Finance, Financial Mathematics, Investment Management, Investment Strategy, Leadership, Machine Learning, Mathematics, Mentoring, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Quantitative Analysis, Quantitative Research, Risk, Risk Management Framework (RMF), Simulation, Statistical Modeling, Statistics, Strategic Planning, Team Lead/Manager, Technical Research, Technical Strategy, Test Design, Training Data Sets, Validation Testing
LOCATION
Stamford, NY
POSTED
21 days ago

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.

About the Company

M

Madison-Davis

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