Remote Quantitative Analyst Jobs
Remote Quantitative Analyst jobs are open across finance, insurance, technology, and hedge funds at remote-first firms and distributed teams of all sizes, from entry-level analyst roles to senior quant positions. Employers hiring remotely right now include Fidelity Investments, GIC, and Handshake. Scan the live roles below and apply to whichever ones fit.
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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.
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.
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What Employers Look For
The qualifications that appear most often in remote quantitative analyst jobs.
- Advanced degree in mathematics, statistics, financial engineering, or a related quantitative field
- Proficiency in Python, R, or MATLAB for statistical modeling and data analysis
- Experience with stochastic calculus, probability theory, and numerical methods
- Familiarity with SQL and large-scale financial datasets or market data platforms
- Knowledge of derivatives pricing, risk metrics such as VaR, or algorithmic strategy development
- Strong written and verbal communication skills to present model results to non-technical stakeholders
Tips for Your Remote Quantitative Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote quantitative analyst openings from across the U.S. in one place. Search the current roles, find the ones that match your skills and level, and apply directly without sorting through listings that aren't actually remote.
Build a public quantitative project portfolio
Remote employers can't watch you work, so your GitHub or equivalent portfolio does the talking. Publish well-documented models, backtests, or statistical analyses that show your methodology, not just your results. Clean code and readable notebooks carry real weight in remote quant hiring.
Sharpen your async written communication
Remote quant teams run on written updates, Slack threads, and documented code reviews. Practice explaining your models and findings in writing that a non-quant stakeholder can follow. Candidates who write clearly get further in remote hiring pipelines than those who rely on verbal explanation.
Prepare for take-home technical assessments
Remote quant interviews almost always include a multi-day take-home case, not just a live coding screen. Practice working through statistical or financial modeling problems independently, documenting your assumptions, and presenting conclusions without prompts. Time management across the window matters as much as the answer.
Remote Quantitative Analyst Jobs: Frequently Asked Questions
How do I get a remote quantitative analyst job?
Target remote-first hedge funds, fintech companies, and insurance firms, since these sectors run distributed quant teams most consistently. Remote employers screen heavily for self-direction, clear written communication, and proficiency in Python, R, and SQL, because you won't have a desk neighbor to fill in gaps. A portfolio of quantitative projects, clean documentation, and experience with version control like Git gives you a concrete edge over candidates who can only point to a degree.
Which companies hire remote quantitative analysts?
Companies hiring remote quantitative analysts right now include Fidelity Investments, GIC, and Handshake, based on current remote listings on Migrate Mate as of November 2026. Remote quant roles are concentrated at remote-first hedge funds, insurtech and fintech firms, and financial data companies that run fully distributed research and modeling teams.
Can you get a remote quantitative analyst job with no experience?
Yes, but remote entry-level quant roles are harder to land because employers expect you to work independently from day one without in-office mentorship. Your strongest path is building a portfolio of quantitative projects on GitHub, contributing to open-source financial modeling tools, or completing structured programs in data science or financial engineering. Smaller fintech startups and algorithmic trading shops with distributed teams are more likely to take a chance on candidates who show strong self-taught technical work.
Do you need a degree for remote quantitative analyst jobs?
Usually, but the weight of the credential depends on the employer. Most hedge funds and investment banks require a graduate degree in mathematics, statistics, physics, or a related field. Remote-first fintech firms and data-driven startups weigh demonstrated coding ability, published models, and quantitative project work heavily alongside, or sometimes instead of, a formal degree, especially for junior roles.
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