Quantitative Investment Analyst

Fidelity is seeking a seasoned quantitative investment analyst to join the Multi-Asset Class (MAC) team, supporting our target date strategies. As a key contributor, you will develop and communicate market views, produce thematic research and thought leadership, and design and evaluate innovative investment strategies focused on alpha generation. You’ll enhance quantitative frameworks for both strategic and tactical asset allocation, and refine tools for outcome-driven portfolio construction and risk management. Your work will directly impact the management of Fidelity’s mutual funds and client accounts, while also supporting the development of new products tailored to evolving client needs.

Responsibilities

Develop and communicate global macro views based on both independent and collaborative research; Conduct research in tactical asset allocation, while also supporting strategic asset allocation, portfolio construction, and manager research; Build quantitative tools and infrastructure to support discretionary and systematic investment processes; Collaborate with investment, client-facing, data and technology teams; Translate complex quantitative ideas for non-technical audiences; Share insights through stakeholder presentations and published research; Develop and communicate market views, produce thematic research and thought leadership, and design and evaluate innovative investment strategies focused on alpha generation; Enhance quantitative frameworks for strategic and tactical asset allocation; Refine tools for outcome-driven portfolio construction and risk management

Requirements

Deep understanding of market dynamics, quantitative strategies, portfolio construction, and risk management; Advanced degree in finance, math, engineering, science, or business; 7+ years in multi-asset quantitative research; 3+ years generating alpha in discretionary investment processes; Programming and data management experience; proficiency in agentic harnesses using Python or R; Deep multi-asset market expertise; Strong quantitative and programming capabilities using agentic harnesses; Advanced data modeling skills

Benefits

Comprehensive health care coverage and emotional well-being support; Market-leading retirement; Generous paid time off and parental leave; Charitable giving employee match program; Educational assistance including student loan repayment, tuition reimbursement, and learning resources