Quantitative Analyst, Multi-Asset Systematic Strategies

Job Description:

The Group
Quantitative Research and Investing (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity's investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

The Team
The Multi-Asset Systematic Strategies (MASS) team is responsible for developing and managing a range of multi-asset systematic and rules-based alternative strategies, including derivatives overlay funds, managed futures/trend following, systematic global macro, alternative risk premia, and multi-strategy funds. We also provide customized derivatives-based hedging solutions tailored to client needs.

The Role
Reporting to the Managing Director of Research, the Quantitative Analyst will be a core member of the MASS team. You will develop and enhance alpha signals, portfolio construction methodologies, risk analytics, and research infrastructure. You'll collaborate with technology teams on enterprise systems, and with analysts and portfolio managers on data exploration, modeling, and strategy development across systematic multi-asset strategies. This is a hands-on role within a nimble, high-impact research group.

Primary Responsibilities

• Model Design: Develop and refine proprietary investment models across asset classes, including quant global macro, managed futures, alternative risk premia, tail risk hedging, and multi-strategy approaches.
• Modeling & Simulation Platform: Build a research framework with rigorous backtesting, validation, and robust model integrity.
• Research Agenda: Lead high-impact research initiatives across systematic strategies.
• Cross-Functional Collaboration: Work closely with trading, risk, and technology teams to support effective model implementation.
• Team Leadership: Mentor quantitative researchers and foster a culture of innovation and analytical rigor.
• Client & External Engagement: Participate in client diligence meetings and contribute to conferences and thought leadership.
• Innovation: Stay current with advancements in quantitative finance and integrate emerging techniques into strategies.

• Bachelor's degree
• 10+ years of quantitative research experience in asset management or hedge funds
• Deep understanding of financial markets, especially alternative risk premia
• Experience designing multi-asset systematic strategies
• Proven record of developing and deploying successful investment strategies
• Trading/execution experience is a plus
• Programming proficiency is a plus

• PhD or advanced degree in a quantitative field (finance/economics, statistics, applied math, physics, CS, engineering, etc.)
• Buy-side experience in systematic multi-asset research
• Experience developing alpha signals, risk models, and systematic strategies
• Ability to work efficiently with large structured/unstructured datasets
• Experience leveraging LLMs/GenAI in research workflows
• Strong background in quantitative investing
• Passion for markets and investing
• Ability to write and deploy production-quality code
• Experience modeling and trading derivatives across equities, fixed income, FX, and commodities