Quantitative Equity Research Analyst

Fidelity Investments • Boston, MA

1d • Hybrid

About The Position

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 fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis. The Role Fidelity Investments is looking for a Quantitative Analyst to join the Systematic Equity Strategies (SES) group — a part of QRI. The SES team is responsible for the research, design, development, and implementation of systematic active and tax-managed equity strategies. Assets under management is approximately $50B and spans multiple equity products and customized separately managed accounts serving both intermediary and institutional investors. The Value You Deliver The SES Research team is looking for a creative and driven researcher who excels at blending economic intuition with rigorous data analysis to generate tangible, investable insights. In this role, you will be a key contributor to the team's research agenda, responsible for developing and enhancing our global quantitative stock selection models. You will work in a highly collaborative environment that integrates quantitative research, portfolio management, technology, and trading, with a direct impact on investment outcomes. Additional responsibilities include: Improving performance of stock selection models though idea generation, rigorous empirical analysis and back-testing. Investigate large structured as well as novel data sources to generate alpha. Actively participating in the team’s research agenda and taking responsibility for the full life cycle of each project from idea generation, research design, back-testing and portfolio simulations, to implementation. Partnering closely with other team members to enhance the investment process by investigating techniques to improve portfolio construction and optimization. Implementing quantitatively based equity models, transaction cost modeling, risk mitigation as well as evaluating and developing new risk models. Working in a collaborative team environment that integrates quant research, technology and trading and drive improvements to quant infrastructure and technology platform. The quantitative analyst position offers a valuable opportunity to learn and excel within a talented investment department for an elite investment organization.

Requirements

• 7-10+ years of hands-on experience in quantitative equity research, ideally at a systematic asset manager or hedge fund.
• Deep understanding of econometrics, mathematics, and hands-on programming skills along with a passion for investing in the financial markets.
• Strong Data Science, Data Visualization skills.
• Proficiency with programming languages and statistical software (e.g., Python, R, SQL, Tableau).
• An advanced degree, Masters or Ph.D. (preferred), in finance, quantitative economics, statistics, computer science, math, or the physical sciences.
• Deep knowledge of various financial and economic databases like Compustat, Worldscope, IBES etc.
• Ability to think independently with good economic intuition as well as strong presentation and communication skills.

Nice To Haves

• Relevant experience with multi-factor models, quant equity portfolio construction, TCA, market impact modeling and strong equity microstructure knowledge preferred.
• Experience with financial packages, portfolio optimization and management tools (e.g., FactSet, Bloomberg, Axioma, Barra).

Responsibilities

• Improving performance of stock selection models though idea generation, rigorous empirical analysis and back-testing.
• Investigate large structured as well as novel data sources to generate alpha.
• Actively participating in the team’s research agenda and taking responsibility for the full life cycle of each project from idea generation, research design, back-testing and portfolio simulations, to implementation.
• Partnering closely with other team members to enhance the investment process by investigating techniques to improve portfolio construction and optimization.
• Implementing quantitatively based equity models, transaction cost modeling, risk mitigation as well as evaluating and developing new risk models.
• Working in a collaborative team environment that integrates quant research, technology and trading and drive improvements to quant infrastructure and technology platform.

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 to develop your career

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level