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Remote Quantitative Data Analyst Jobs (NOW HIRING)

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Apply analytic tradecraft, structured analytic techniques, and quantitative methodologies to ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

Data Analyst Job Location: Remote Job Type : long term Contract Payrange : $40 - $45 Benefits for ... quantitative field. * Experience building and optimizing Power BI Semantic Models. * Strong ...

Senior Data Analyst

$100K - $120K/yr

Why Phase2 Phase2 is a remote-first agency focused on digital modernization, emerging innovation ... Analyze qualitative and quantitative data to inform strategic recommendations across UX, content ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

... for remote work to be determined by the program manager and customer. Essential Functions ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

The purpose of the Lead Data Analyst, Pharmacy is to execute pharmacy business objectives with data ... Apply appropriate quantitative, qualitative, or mixed-method approaches to answer business ...

Data Analyst

$100K - $110K/yr

Bachelor's in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

Data Analyst Location: US-Remote About the role The Insights & Analytics team at LTK is a core ... Bachelor's degree in any field; a strong quantitative foundation (e.g., in economics, statistics ...

$130K - $150K/yr

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... This fully remote role will focus on developing and maintaining sophisticated quantitative models ...

$130K - $150K/yr

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... This fully remote role will focus on developing and maintaining sophisticated quantitative models ...

Fully remote - can work remote anywhere, but the whole team runs on PST time zone Must have skills ... Working knowledge of Python Ability to conduct quantitative and qualitative analyses Organized ...

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Job Title : Sr Data Analyst Location: Atlanta, GA, Remote Duration : 6 to 12 Months Contract to ... contribute to the quantitative analysis of the Sales organization's key challenges and ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

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Remote Quantitative Data Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do remote quantitative data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote quantitative data analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Quantitative Data Analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a Remote Quantitative Data Analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Data Analyst, and why are they important?

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

What is the difference between Remote Quantitative Data Analyst vs Remote Data Scientist?

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

More about Remote Quantitative Data Analyst jobs
What cities are hiring for Remote Quantitative Data Analyst jobs? Cities with the most Remote Quantitative Data Analyst job openings:
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
What states have the most Remote Quantitative Data Analyst jobs? States with the most job openings for Remote Quantitative Data Analyst jobs include:
Infographic showing various Remote Quantitative Data Analyst job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 29% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Investment Analyst

Fidelity Investments

Boston, MA • On-site, Remote

$100K - $200K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Job Description:

The Groups and Team

Quantitative Research & Investments (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity's investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

With around $850 billion in assets under management, Fidelity Asset Management Solutions (FAMS) is a leading provider of multi-asset class solutions for retail and institutional clients. The range of investment solutions includes target date funds, target allocations funds, income and real return strategies, world allocation funds, and other custom institutional solutions.

The Multi-Asset Class (MAC) Quantitative Research Team within QRI provides research and analysis to FAMS portfolio managers and other investment professionals in support of our broad range of investment solutions. This research is vital in helping portfolio managers to select the most suitable investment options and manage asset class and risk exposures across all investment solutions we deliver. Members of the team either work directly within a specific investment team as an embedded analyst or support all investment teams as a central analyst.

The Role

Fidelity is seeking a seasoned quantitative investment analyst to join the Multi-Asset Class (MAC) team, supporting our target date strategies. As a key contributor, you will develop and communicate market views, produce thematic research and thought leadership, and design and evaluate innovative investment strategies focused on alpha generation. You'll enhance quantitative frameworks for both strategic and tactical asset allocation, and refine tools for outcome-driven portfolio construction and risk management. Your work will directly impact the management of Fidelity's mutual funds and client accounts, while also supporting the development of new products tailored to evolving client needs.

Responsibilities will vary based on your experience, skillset, and the team's priorities, which may shift over time. Potential areas of focus include:

  • Proprietary alpha signals and factor models

  • Systematic cross-asset investment strategies

  • Discretionary macro research

  • Target date glidepath design

  • Retirement solutions to address longevity risk

  • Downside protection and robust diversification

  • Liability-driven investment solutions

The ideal candidate will bring deep multi-asset market expertise, strong quantitative and programming capabilities using agentic harnesses, and advanced data modeling skills. Success in this role requires analytical rigor, clear communication, and a collaborative mindset.

The Value You Deliver

  • Develop and communicate global macro views based on both independent and collaborative research.

  • Conduct research in tactical asset allocation, while also supporting strategic asset allocation, portfolio construction, and manager research.

  • Build quantitative tools and infrastructure to support discretionary and systematic investment processes.

  • Collaborate with investment, client-facing, data and technology teams.

  • Translate complex quantitative ideas for non-technical audiences.

  • Share insights through stakeholder presentations and published research.

The Expertise and Skills You Bring

  • Deep understanding of market dynamics, quantitative strategies, portfolio construction, and risk management.

  • Advanced degree in finance, math, engineering, science, or business.

  • 7+ years in multi-asset quantitative research.

  • 3+ years generating alpha in discretionary investment processes.

  • Programming and data management experience; proficiency in agentic harnesses using Python or R.

Leadership Competencies You Demonstrate

  • Strategic thinker with a bias for timely execution.

  • Professional presence with strong communication across all levels.

  • Independent idea generator with a collaborative working style.

  • Passionate about markets and investing.

  • High integrity, humility, and team orientation.

  • Committed to investment principles and repeatable processes.

  • Client-focused mindset.

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

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