Quantitative Equity Research Analyst

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 timely 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

The Experience and Skills You Bring

We are seeking individuals who have the following characteristics:

• 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

• Proficiency with programming languages and statistical software (e.g., Python, R, MATLAB, SQL, Tableau)

• 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

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.