Quantitative Analyst

Job Description

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The Department

Strategic Advisers, LLC is a registered investment advisor and wholly owned subsidiary of FMR LLC that provides investment management services to clients through Fidelity’s retail, workplace, 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 $800 billion in assets under management in a blend of Fidelity and third-party investment vehicles, the Strategic Advisers team of investment professionals constructs and manages asset allocation portfolios for more than 2 million customer accounts.

Quantitative Research

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 Position

You will conduct research as a member of the Fidelity Personalized Planning & Advice (FPP&A) multi asset class investment team.

The FPP&A investment team manages over $130B of assets on behalf of more than 9,000 401k plans. You will contribute to the investment team’s successes with thorough analysis and investment recommendations that are based on quantitative analysis.

Your primary objective will include researching and bringing innovative solutions to bear on our existing quantitative investment methodologies to enhance performance and deliver superior outcomes for the workplace managed account clients.

A significant focus of your work will also be on portfolio construction and optimization to deliver optimal allocation and fund selection for workplace managed accounts.

You should enjoy working within a team environment and are expected to offer strong communication, programming, and analytical skills.

You should be able to translate portfolio management requirements into quantitative projects and present the results in an investment-oriented and intuitive way.

Given SAI’s rapidly growing business, this role will evolve dynamically and requires an ambitious spirit. You will work at Fidelity’s headquarters in Boston, Massachusetts and will report to the team lead.

Responsibilities

• Collaborate with portfolio managers and broader investment team to enhance our investment framework for managed account clients.
• Enhance fund-level alpha models that will impact the portfolio positioning under different market environments.
• Evaluate asset / factor allocation and rebalancing strategies under different market and economic conditions.
• Understand, maintain, and improve infrastructure supporting our investment process.
• Collaborate with the broader research and investment groups.
• Be able to clearly communicate and rationalize specific recommendations.

Skills / Knowledge

• Very solid programming and database skills, e.g., R, Python, SQL.
• Strong communication and presentation skills, particularly in translating complex quantitative analysis into meaningful and applicable investment solutions.
• Deep knowledge of portfolio construction, optimization, and factor allocation across asset classes.
• Experience in applying advanced Machine Learning (ML) techniques to develop investment models is a plus.
• Knowledge of capital markets dynamics.
• Demonstrated experience conducting statistical time-series data analysis and backtesting investment models.
• Experience in the use of financial tools like Bloomberg, FactSet, or other portfolio analysis and asset allocation tools would be beneficial.

Qualifications

• 5-7 years of experience in quantitative investment research (e.g. portfolio optimization, multi-factor, and asset allocation) and portfolio construction roles, specifically for a multi asset class investment process.
• Proven ability to conduct rigorous independent empirical research and a willingness to identify and present new research ideas.
• PhD / MS in a related field (Finance, Engineering, Mathematics, etc.).
• CFA is a plus.

Values

• Teamwork.
• Intellectual curiosity.
• Accountability.
• Enthusiasm.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours.

You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home.

Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024.

And you don’t need a finance background to succeed at Fidelity we offer a range of opportunities for learning so you can build the career you’ve always imagined.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture.

We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process.

To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to [email protected].

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