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Quantitative Equity Research Analyst

Fidelity Investments

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Location:
United States , Boston

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Category:
Finance

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Contract Type:
Not provided

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Salary:

150000.00 - 250000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

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
  • Relevant experience with multi-factor models, quant equity portfolio construction, TCA, market impact modeling and strong equity microstructure knowledge preferred
  • 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
  • Experience with financial packages, portfolio optimization and management tools (e.g., FactSet, Bloomberg, Axioma, Barra)
  • Ability to think independently with good economic intuition as well as strong presentation and communication skills
What we offer:
  • 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

Additional Information:

Job Posted:
April 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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