Quantitative Research Analyst Jobs
Quantitative Research Analyst jobs are open across finance, asset management, hedge funds, and technology, from entry-level analyst to senior and principal roles, with specializations in statistical modeling, algorithmic strategy, and risk analytics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 108+ Quantitative Research Analyst jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in product research in an applied research setting, or similar.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
- Experience applying statistical methods, experimental design, instrument and rubric design, advanced statistical modeling, and mixed rater systems to behavioral data.
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 3 years of experience working with executive leadership (e.g., Director level and above).
- 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
- Experience analyzing user behavior in B2B contexts, enterprise software, or CRM platforms, and evaluating agentic AI workflows and architectures.
- Experience with linear mixed-effects modeling, Item Response Theory, quasi-experimental methods, A/B testing frameworks, or causal inference concepts.
- Ability to construct psychometrically sound rubrics, evaluation instruments, and rating scales.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.
You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define, plan, and conduct quantitative research to evaluate user behavior on CE platforms.
- Apply statistical methods (e.g., statistical inference, regression modeling, experimental design) to analyze large-scale log data, survey data, and other behavioral data.
- Partner with product managers, engineers, and designers to identify research opportunities, define user-centered success metrics, and ensure appropriate data instrumentation.
- Design, analyze, and interpret A/B experiments to measure the impact of product changes on user behavior and key metrics.
- Translate complex findings into actionable insights and communicate them effectively to cross-functional stakeholders at various levels.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in product research in an applied research setting, or similar.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
- Experience applying statistical methods, experimental design, instrument and rubric design, advanced statistical modeling, and mixed rater systems to behavioral data.
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 3 years of experience working with executive leadership (e.g., Director level and above).
- 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
- Experience analyzing user behavior in B2B contexts, enterprise software, or CRM platforms, and evaluating agentic AI workflows and architectures.
- Experience with linear mixed-effects modeling, Item Response Theory, quasi-experimental methods, A/B testing frameworks, or causal inference concepts.
- Ability to construct psychometrically sound rubrics, evaluation instruments, and rating scales.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.
You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define, plan, and conduct quantitative research to evaluate user behavior on CE platforms.
- Apply statistical methods (e.g., statistical inference, regression modeling, experimental design) to analyze large-scale log data, survey data, and other behavioral data.
- Partner with product managers, engineers, and designers to identify research opportunities, define user-centered success metrics, and ensure appropriate data instrumentation.
- Design, analyze, and interpret A/B experiments to measure the impact of product changes on user behavior and key metrics.
- Translate complex findings into actionable insights and communicate them effectively to cross-functional stakeholders at various levels.
Quantitative Research Analyst Jobs by Experience Level
Top Cities Hiring Quantitative Research Analysts
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Find JobsQuantitative Research Analyst Job Market
Who's Hiring
- JPMorganChase28
- Google7
- Millennium Management4
- Chicago Trading Company4
- Trexquant Investment LP4
Top Industries Hiring
- Investment & Asset Management28
- Banking & Financial Services12
- Fintech9
- Technology & Software2
- Construction & Real Estate2
What Employers Look For
The qualifications that appear most often in 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 Quantitative Research Analyst Job Search
Quantify your models on your resume
List the specific models you built, the datasets you worked with, and the measurable outcomes. Hiring managers for quantitative research analyst roles expect to see accuracy improvements, alpha generation, or risk reduction figures, not vague descriptions of analytical work.
Include your programming languages prominently
Python, R, MATLAB, and SQL often appear in the first screening pass for quantitative research analyst roles. Put them in your skills section and name them again in context within your experience bullets so both automated filters and reviewers catch them.
Target firms by their research strategy
Systematic and discretionary hedge funds, sell-side research desks, and tech quant teams each test for different things. Read a firm's published research or job description carefully to match your resume's emphasis to their strategy before you apply.
Apply early to roles that fit
Migrate Mate lists quantitative research analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a take-home or case study sample
Many quantitative research analyst interviews include a timed modeling exercise or a take-home dataset problem. Practice building a clean, annotated analysis in Python or R that a non-technical reviewer can follow, because presentation quality is evaluated alongside methodology.
Negotiate using comp structure, not just base
Quantitative research analyst offers frequently include a discretionary bonus tied to fund performance or research output. Ask explicitly how the bonus is determined and request a range from recent cycles before you evaluate or accept any offer.
Quantitative Research Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative research analysts?
The companies hiring the most quantitative research analysts right now include JPMorganChase, Google, and Millennium Management, with the largest share of openings in New York, California, and Illinois, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at hedge funds, asset managers, and large technology companies with proprietary trading or data science divisions.
How many quantitative research analyst jobs are remote?
About 39% of quantitative research analyst openings are fully remote or hybrid as of August 2026, with remote options more common in technology-focused quant roles than in hedge fund or sell-side research positions. Roles centered on independent statistical modeling or data pipeline development tend to offer the most flexibility, while strategy-facing or trading-adjacent roles typically require on-site presence.
How do you become a quantitative research analyst?
Most quantitative research analysts build a foundation in a quantitative discipline such as mathematics, statistics, physics, or computer science, then develop applied skills in financial modeling, time-series analysis, and programming. Internships at asset managers or research desks provide practical exposure. A graduate degree strengthens candidacy for senior roles, and a portfolio of personal or academic modeling projects demonstrates hands-on ability to employers who screen heavily on technical output.
Can you get a quantitative research analyst job with little experience?
Entry-level quantitative research analyst roles exist, and employers filling them focus heavily on academic performance, technical skills, and demonstrated project work rather than years on the job. A strong thesis, published research, or a GitHub portfolio with backtested models can substitute for professional experience. Rotational analyst programs at banks and asset managers are a common entry point for new graduates from quantitative programs.
What does the quantitative research analyst interview process look like?
The process typically starts with a recruiter screen focused on background and technical stack, followed by a technical phone interview covering probability, statistics, and coding in Python or R. Later rounds often include a take-home modeling exercise or case study, then a final round of interviews with senior researchers or portfolio managers that combines technical depth with research discussion. Some firms add a brain-teaser or mental math component early in the process.
Where can I find and apply to quantitative research analyst jobs?
You can find and apply to quantitative research analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 108+ Quantitative Research Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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