Remote Quantitative Research Analyst Jobs

Remote Quantitative Research Analyst jobs are open across the U.S. at remote-first firms, distributed research teams, and technology-driven companies in finance, healthcare, and data analytics. Employers actively hiring right now include Commence, Biovid, and Alt Platform. See the openings below and apply to the ones that match your experience.

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Overview

Open roles22
Top employerCommence
Top credentialMaster's degree
Companies hiring16

Showing 5 of 22+ Remote Quantitative Research Analyst jobs

Market Research Director – Quantitative Research
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New 22h ago
Market Research Director – Quantitative Research
Biovid
Bristol, Pennsylvania
Business Development
Growth Marketing
Marketing
Remote (US)
Master's degree
11-50

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Quantitative Researcher
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Added 2d ago
Quantitative Researcher
Goliath Partners
Remote
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
Remote (US)

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Quantitative Researcher, Evidence Synthesis & Meta-Analysis
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Added 1w ago
Quantitative Researcher, Evidence Synthesis & Meta-Analysis
American Institutes for Research
Chicago, Illinois
Biotech & Life Sciences
Clinical Trials & Medical Research
Data Science
Research & Academia
$87k - $110k/yr
Remote (US)
Doctoral degree in statistics
1,001-5,000

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Associate, Quant Research
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Added 1w ago
Associate, Quant Research
BlackRock
San Francisco, California
Biotech & Life Sciences
Clinical Trials & Medical Research
Research & Academia
$133k - $162k/yr
Remote (US)
Master's degree
10,000+

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Market Research Manager/Senior Manager – Quantitative Research
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Added 2w ago
Market Research Manager/Senior Manager – Quantitative Research
Biovid
Bristol, Pennsylvania
Business Analysis
Business Operations
Project Management
Remote (US)
Master's degree
11-50

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Remote Quantitative Research Analyst Job Market

Who's Hiring

Commence4 open roles
Biovid2 open roles
Alt Platform2 open roles

What Employers Look For

The qualifications that appear most often in remote quantitative research analyst jobs.

  • Advanced degree in mathematics, statistics, finance, computer science, or a related quantitative field
  • Proficiency in Python or R for data analysis, modeling, and research automation
  • Experience building and backtesting statistical or machine learning models on financial data
  • Strong command of SQL for querying large structured datasets
  • Familiarity with Bloomberg, Refinitiv, or similar financial data platforms
  • Ability to communicate complex quantitative findings clearly to non-technical stakeholders

Tips for Your Remote Quantitative Research Analyst Job Search

Build a reproducible remote research portfolio

Remote employers can't watch you work, so your portfolio has to do it for them. Publish documented research notebooks, well-commented model code, and written analytical summaries on GitHub or a personal research site so hiring managers can evaluate your process, not just your conclusions.

Signal async communication skills explicitly

Remote quantitative research roles depend on clear written communication across time zones. Highlight experience writing research memos, Slack-based technical updates, or structured documentation in your resume and cover letter, since remote teams rely on asynchronous clarity instead of real-time explanation.

Apply early to remote roles that fit

Migrate Mate lists remote quantitative research analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings that aren't actually remote or aren't a fit for your background.

Prepare for remote technical interview formats

Remote interviews for quantitative research analyst roles often include take-home modeling exercises or asynchronous case studies rather than live whiteboard sessions. Practice structuring a full written analysis under time pressure, documenting your assumptions clearly so reviewers can follow your reasoning without asking follow-up questions.

Remote Quantitative Research Analyst Jobs: Frequently Asked Questions

How do I get a remote quantitative research analyst job?

Target companies that run distributed research teams, since those employers are already set up for remote collaboration and expect candidates who work independently without daily supervision. Remote hiring managers screen heavily for written communication, documented analytical workflows, and proficiency with tools like Python, R, SQL, and version control. A portfolio of published models, research notebooks, or reproducible analyses gives you a concrete edge over candidates who rely on verbal explanations alone.

Which companies hire remote quantitative research analysts?

Employers currently hiring remote quantitative research analysts include Commence, Biovid, and Alt Platform, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology firms, distributed financial services companies, and data-driven healthcare organizations that have built the infrastructure to support independent research work across time zones.

Can you get a remote quantitative research analyst job with no experience?

Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal onboarding support. Your best path is building a public portfolio of original quantitative work, such as GitHub repositories with documented models or Kaggle competition write-ups, that proves you can structure a research problem and deliver results without guidance. Smaller remote-first startups and fintech companies are most likely to take a chance on strong portfolio candidates.

Do you need a degree for remote quantitative research analyst jobs?

Usually, but the degree requirement varies by employer and depth of the role. Most quantitative research positions expect at minimum a bachelor's degree in mathematics, statistics, economics, or a related field, and graduate credentials are common for more senior remote roles. Remote employers also weigh demonstrated skills heavily, so a strong portfolio of applied quantitative work, evidence of statistical modeling expertise, and familiarity with industry-standard tools can supplement or strengthen a non-traditional academic background.

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