Fidelity Asset Management Solutions (FAMS) is a leading manager of multi-asset portfolios for retail and institutional clients, with more than 40 investment professionals and approximately $1 trillion in assets under management. The range of investment solutions includes target date funds, target allocation funds, income strategies, and outsourced CIO (OCIO) services for endowments, foundations, and corporate defined-benefit (DB) plans.
The Multi-Asset Class (MAC) Quantitative Research Team within QRI provides research and analysis to FAMS portfolio managers and other investment professionals in support of our broad range of investment solutions. This research is vital in helping portfolio managers to select the most suitable investment options and manage asset class and risk exposures across all investment solutions we deliver.
What you'd do
- Support research initiatives across risk modeling, alpha identification, asset allocation, and portfolio construction
- Partner with stakeholders across Trading and Product to identify opportunities for AI-driven solutions and integrate AI models into existing processes
What they want
- Undergraduate student pursuing a degree in a quantitative or STEM-related field, graduating in late 2027 or 2028
- Experience building and evaluating generative AI solutions, including large language models and AI agents
- Ability to develop innovative ideas independently and collaborate effectively with diverse stakeholders
- Strong professional presence and communication skills across all levels of an organization
- Passion for financial markets and investing
- Commitment to disciplined investment processes and data-driven decision-making
- Strategic thinking and a bias toward timely execution
- Demonstrated integrity, humility, and a team-oriented mindset
- Starts
- 2026-09-28