Quantitative Equity Research Analyst

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Fidelity Investments is looking for a Quantitative Equity Research Analyst to join the Equity Quantitative team - a part of the Quantitative Research & Investments (QRI) division. In this role, the analyst will partner with fundamental Equity portfolio managers to provide quantitative analytics for alpha generation, risk management, and portfolio construction. The analyst will conduct research on new alpha sources to enhance existing models, deliver actionable advice on fund positioning and risk drivers, and assist with portfolio construction using optimizations and other systematic approaches.

The Value You Deliver

• Building quantitative factors and models through idea generation and empirical analysis to enhance the investment process of fundamental portfolio managers
• Evaluating large structured and alternative datasets to deliver differentiated sources of alpha
• Providing customized and proactive recommendations to portfolio managers by analyzing portfolio risk exposures, investigating portfolio construction and optimization techniques, and conducting performance attribution
• Assisting portfolio managers with new product development, fund pitches, and client communications
• Actively contributing to the team's research agenda and taking responsibility for research projects, as well as publishing and distributing research internally

• 7+ years of experience in quantitative equity research
• Relevant experience building multi-factor quantitative models employing both linear and non-linear (e.g., machine learning based or GenAI) algorithms
• Deep understanding of equity risk models, including model construction, factor and covariance definitions, factor calculations, and translating output statistics into meaningful information for fundamental investors
• Proven expertise with portfolio construction and optimization techniques
• Working knowledge of applying large language models to extract insights from unstructured data
• Proficiency with programming languages and statistical software (e.g., Python, R, SQL)
• Deep knowledge of various financial and economic databases, such as Compustat, Worldscope, IBES etc. Experience with financial packages and portfolio optimization tools (e.g., FactSet, Bloomberg, Barra)
• Master's degree in quantitative finance, financial mathematics, business administration, computer science, engineering, or the physical sciences
• Ability to think independently with good economic intuition as well as strong presentation and communication skills