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Quantitative Analyst

Fidelity Open
Boston Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Fidelity. Boston · full-time · $100,000–$200,000 base.

SalaryStated by Fidelity
$100,000 – $200,000
Base salary for this role, in USD per year, as published in the posting.
This role, from FidelityOur estimate for the market: $106,875–$159,375Median $128,950
The range includes the market median of $128,950 for mid-level data science roles in Boston.
Worked out from 18 postings that stated pay, median $128,950. Last updated Oct 26, 2026.
RoleData Science
SeniorityMid-level
LocationBoston
EmploymentFull-time
Base pay$100,000–$200,000
PostedNov 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Support asset-allocation portfolio managers with research requests and work through their investment workflows
  • Run and extend the quantitative work in the monthly asset-allocation review
  • Build and maintain macroeconomic indicators and models used for research and investment decisions
  • Design models and analyses with portfolio managers to address research needs and inform decisions
  • Help shape SAI’s quantitative allocation research program and pursue shared projects across research and portfolio management

What you bring

  • At least four years of financial-industry experience is preferred, with a record of independent research
  • You bring practical Python experience, along with LLMs, agentic frameworks and analytical tools
  • You have built new investment processes or made substantial improvements to existing ones

Who this fits

This role suits a quantitative researcher who can explain complex methods, work independently and partner with portfolio managers to grow an asset-allocation research program. Fidelity will not sponsor immigration for this position. Onsite expectations are changing by region and role.

From the employer

Fidelity will not provide immigration sponsorship for this position.

Job Description:

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 Role

We seek a proactive, curious, innovative quantitative analyst to join the SAI Quantitative Research team, focusing on asset allocation research and portfolio construction. SAI is looking to advance its research capability and expand quantitative research input in support of our Asset Allocation decision-makers. The selected candidate will help drive and execute a vision for asset allocation and macroeconomic investment research, bringing strong technical skills and expertise in economics, finance, mathematical modeling, and quantitative analysis. This role will support a team of SAI asset allocation portfolio managers in developing strategic and tactical allocation across several managed account products with a large asset base. This role will involve both ad hoc support of portfolio managers and individual contributions to help improve decision-making, streamline workflows, and unlock new sources of insight. This individual will collaborate with a wide range of stakeholders across SAI, help build the function within SAI, and foster a culture of experimentation in SAI’s complex yet collaborative environment. The ideal candidate will be capable of driving innovation and have a strong understanding of SAI’s investment, research, business, and trading processes.


Responsibilities

The successful candidate will operate as an embedded quantitative analyst with the SAI Asset Allocation team and, over time, will be expected to expand their investment impact and thought-leadership, including the design and implementation of an expanded asset allocation and macroeconomic research function for SAI.

  • Partner closely with SAI asset allocators and associated teams to understand their workflows and contribute to a team-driven process
  • Support ad hoc PM research needs
  • Execute and expand quantitative research elements of monthly asset allocation review process
  • Develop and maintain a library of macroeconomic indicators and models in support of team research and decision-making
  • Work with portfolio managers and team members to identify research needs, design solutions, and execute modeling and analyses in support of decision-making
  • Help develop and implement a comprehensive vision for a quantitative asset allocation research program
  • Collaborate across SAI research and portfolio management groups, identifying and executing on common investment research projects

Skills, Knowledge, and Experience

  • Strong communication skills, with the ability to articulate complex quantitative concepts and design efficient research solutions for investment decisions
  • Proven track record of independent, innovative research within the financial industry, 4+ years of experience preferred
  • Strategic mindset. Ability to influence and partner with team to develop and grow a program vision
  • Demonstrated success creating and implementing new investment processes or significant
  • enhancements to existing processes
  • Familiarity with SAI’s investment, investment services, portfolio engineering, optimization
  • methods, or trading processes
  • Hands-on experience with Python, LLMs and agentic frameworks, and analytic tools
  • A mindset geared toward curiosity, rigorous experimentation, and exploration

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $100,000 - $200,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.


We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Investment Professionals
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.