Senior Quantitative Researcher Jobs
Senior Quantitative Researcher jobs are open across finance, hedge funds, tech, and biotech, from mid-level analyst to principal and staff, with specializations in algorithmic trading, statistical modeling, and machine learning research. Find a role that fits from the openings below and apply directly.
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Showing 5 of 106+ Senior Quantitative Researcher 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.
Senior Quantitative Researcher Jobs by Experience Level
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Find JobsSenior Quantitative Researcher Job Market
Who's Hiring
- JPMorganChase27
- Google7
- Millennium Management4
- Chicago Trading Company4
- Trexquant Investment LP4
Top Industries Hiring
- Investment & Asset Management26
- Banking & Financial Services11
- Fintech9
- Technology & Software3
- Construction & Real Estate2
What Employers Look For
The qualifications that appear most often in senior quantitative researcher jobs.
- PhD in mathematics, statistics, physics, computer science, or a related quantitative field
- Advanced proficiency in Python or R for statistical modeling and data analysis
- Experience building and validating predictive models in a live or near-production environment
- Strong command of probability theory, stochastic calculus, and time-series analysis
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated ability to communicate complex quantitative findings to non-technical stakeholders
Tips for Your Senior Quantitative Researcher Job Search
Tailor your resume to the quant stack
Hiring teams scan for specific tools before reading anything else. List Python, R, C++, or Julia by proficiency level, and name the libraries you use daily, such as NumPy, pandas, or PyTorch, rather than grouping them under a generic 'programming skills' header.
Quantify research impact, not just methods
Describe what your models produced, not just how they worked. A line like 'improved signal-to-noise ratio on a factor model used in live trading' tells a hiring manager far more than 'built predictive models using regression techniques.'
Target openings by research domain, not just title
Senior quant roles split sharply between alpha research, risk modeling, and execution strategy. Filter openings by the domain that matches your publication record or live trading experience, since interviews and expectations differ significantly across each area.
Apply early to roles that fit
Migrate Mate lists senior quantitative researcher 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 case before interviews start
Most senior quant interviews include a timed modeling exercise or coding challenge. Rehearse deriving a Sharpe ratio from scratch, writing a backtesting loop under time pressure, or explaining a factor's statistical significance without notes before your first screen.
Negotiate scope and data access, not just compensation
At the senior level, the quality of your research environment matters as much as pay. In offer conversations, ask specifically about proprietary data sets, compute resources, and publication rights, since these directly shape what you can build and publish.
Senior Quantitative Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most senior quantitative researchers?
The companies hiring the most senior quantitative researchers 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 asset managers, systematic hedge funds, and large technology firms with quantitative product teams.
How many senior quantitative researcher jobs are remote?
About 39% of senior quantitative researcher openings are fully remote or hybrid as of August 2026, though on-site requirements vary significantly by employer type. Roles focused on statistical research and machine learning tend to offer more location flexibility than those tied to live trading infrastructure or low-latency execution systems, which typically require in-office presence.
How do you become a senior quantitative researcher?
Most senior quantitative researchers start with a doctoral degree in a rigorous quantitative discipline, publish or contribute to original research during their studies, then enter the field through a junior quant or research associate role. Advancing to the senior level typically requires owning a research agenda end to end, demonstrating that your models perform in production, and building a record of presenting findings to investment or product decision-makers.
Can you get hired as a senior quantitative researcher with limited experience?
Breaking in at the senior level without deep industry experience is difficult but not impossible if your academic or open-source work is directly relevant. Candidates who have published in peer-reviewed journals, contributed to widely used quantitative libraries, or completed a postdoctoral fellowship at a research-heavy institution have successfully moved into senior roles without prior industry titles, particularly at firms that value research depth over years of service.
What does the senior quantitative researcher interview process look like?
The process typically opens with a technical phone screen covering probability puzzles, statistics fundamentals, and coding in Python or C++. A take-home modeling exercise or timed coding challenge usually follows. Final rounds include a research presentation where you walk through past work in detail, whiteboard sessions on stochastic processes or optimization problems, and conversations with portfolio managers or senior researchers about how your work would fit into their existing strategy.
Where can I find and apply to senior quantitative researcher jobs?
You can find and apply to senior quantitative researcher jobs on Migrate Mate, which lists current openings from across the United States. Search the listings for roles that match your research background and specialization, then apply directly to each opening that fits. Every listing links to the application so you can move quickly when you find the right role.
See All 106+ Senior Quantitative Researcher Jobs
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