Quantitative Analyst

Fidelity Investments•Boston, MA

1d•$100,000 - $200,000•Onsite

About The Position

The Group Strategic Advisers, LLC (SAI) is a registered investment advisor and Fidelity Investments Company that provides investment management services to clients through Fidelity’s retail and institutional distribution channels. For more than 30 years, SAI has specialized in the investment management of managed accounts and other custom solutions to help investors reach their financial goals. With more than $1.4 trillion in assets under management in a blend of Fidelity and third-party investment vehicles, Fidelity’s SAI is a leading provider of managed solutions for retail, workplace, and institutional clients. The Quantitative Research analysts work either directly on an asset class or product investment teams, the central quantitative research group, or on the risk team. The team consists of ~20 analysts located in Boston, Dublin and Denver and partners with the broader SAI investment teams to deliver superior risk-adjusted performance for the wide range of investment offerings managed by SAI. The team’s work includes risk modeling, portfolio construction analysis, the creation of smart beta libraries/alpha models, investment strategy methodology development, and implementation support. We are hiring an early-career quantitative analyst for our Equity Asset Class research group on our Quantitative Research team. The Equity Asset Class Quantitative Research team partners with portfolio managers, fundamental analysts, and quant research colleagues to generate proprietary insights that enhance investment decisions and improve investment outcomes. In this role, you will develop and apply quantitative models across alpha research, factor investing, risk modeling, and portfolio construction. You will evaluate investment ideas through rigorous empirical analysis, back-test strategies, and help translate research findings into practical portfolio recommendations. You will also partner with technology teams to integrate new quantitative capabilities into the investment process. Success in this role requires strong technical skills, sound investment intuition, and the ability to collaborate effectively across portfolio management, research, and technology teams. The ideal candidate can frame investment problems quantitatively, execute high-quality research, and communicate results clearly in an investment-oriented way.

Requirements

Experience with quantitative portfolio construction methods, investment management, and portfolio analyses.
Creative, innovative thinker with intellectual curiosity and motivation to learn and grow; drive to design investment processes for the future.
Strong communication and presentation skills, particularly the ability to translate complex quantitative analysis into clear, practical investment insights.
Strong technical aptitude and adaptability, with solid programming and database skills, including Python, R, SQL, and BI tools.
Experience with quantitative portfolio and risk tools such as Barra, Axioma, FactSet, and/or Bloomberg.
Strong collaboration and influencing skills, with the ability to work across investment teams and build alignment.
Solid understanding of capital markets dynamics.
2-6 years of experience in quantitative investment research (e.g., portfolio optimization, asset allocation) and portfolio construction roles.
Proven ability and track record of conducting rigorous independent empirical research and a willingness to identify and present new research ideas.

Nice To Haves

Experience with optimization methods and AI-enabled research tools is preferred.
Strong preference for a graduate degree in a related field (Finance, Engineering, Mathematics, Operations Research, Decision Science, and Computer Science).
CFA is a plus.

Responsibilities

Research, design, and develop quantitative investment techniques and methodologies to support U.S. and international equity models and portfolio construction.
Partner with equity portfolio managers and research teams to enhance existing and develop new investment signals and portfolio construction approaches.
Design and back-test strategies, run simulations, and conduct risk analysis to evaluate performance and robustness.
Clearly articulate the rationale for recommendations and communicate findings in an actionable, investment-oriented manner.
Understand, maintain, and improve the infrastructure that supports quantitative research and investment processes.