Quantitative Analyst

Job Description:

The Group

Strategic Advisers (SAI) is a registered investment advisor and wholly owned subsidiary of FMR LLC that provides investment management services to clients through Fidelity's retail and institutional distribution channels. For more than 30 years, Strategic Advisers has specialized in the design, construction, and management of asset allocation solutions, as well as the methodologies for many of Fidelity's investment planning tools, to help investors reach their financial goals. With over $1.2 trillion in assets under management in a blend of Fidelity and third- party investment vehicles, the Strategic Advisers team of investment professionals construct and manage asset allocation portfolios for over three million customer accounts.

The Team

SAI's 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.

The Role

The Quantitative Taxable team within Quantitative Research group is responsible for research and development of the investment methodologies that enable SAI to manage personalized client portfolios at scale. We develop methodology for asset location, multi-account optimization, tax-loss harvesting, and many other tax management and goal-based wealth management strategies. Our projects typically lie at the intersection of investment management, portfolio engineering, product design, and personalized financial planning. As a member of this team, your primary objective will include researching and designing solutions to deliver superior outcomes for the managed account clients. A significant focus of your work will also be on model/portfolio construction and optimization to deliver optimal after-tax benefits for clients. This position requires strong collaboration across product development, fundamental research, portfolio engineering, investment management, and technology teams.

The Value You Deliver

• Research, design, and develop quantitative investment techniques and methodologies to support multi-asset class model and portfolio construction.
• Develop the next generation of tax-smart techniques to manage portfolios for taxable clients, taking into consideration asset allocation and asset location in a multi-asset and multi-account framework.
• Collaborate with portfolio management, research, and portfolio engineering teams to enhance the existing portfolio construction processes for both single and multi-account solutions, as well as innovative approaches for unified managed households.
• Design and back-test strategies, run simulations and perform risk and after-tax analyses.
• Articulate the rationale for specific recommendations and clearly communicate them.
• Understand, maintain, and improve infrastructure supporting investment research and processes.

• Experience with quantitative portfolio construction methods and portfolio optimization, investment management, and portfolio analysis.
• Experience with quantitative portfolio tools such as Barra, Axioma and Factset.
• Solid programming and database skills, e.g., Python, R, SQL, and BI Tools.
• Experience with operations research and agentic artificial intelligence preferred.
• Effective communication and presentation skills, particularly in translating complex quantitative analysis into meaningful and applicable investment solutions.
• Ability to work across the organization in various disciplines to drive consensus/closure; strong collaboration and influence skills.

• Graduate degree in a related field (Finance, Engineering, Mathematics, Operations Research, Decision Science, and Computer Science).
• 5+ years of experience in quantitative investment research (e.g., portfolio optimization, asset allocation) and portfolio construction roles, specifically for a multi-asset class investment process.
• Proven ability and track-record of conducting rigorous independent empirical research and a willingness to identify and present new research ideas.
• CFA is a plus.