Mid Level Senior Quantitative Researcher Jobs
Mid level senior quantitative researcher jobs go to researchers ready to own model development end to end, drive analytical decisions with limited oversight, and mentor junior colleagues on methodology. Openings are spread across on-site, hybrid, and remote settings in Investment & Asset Management, Fintech, and Banking & Financial Services, with employers like JPMorganChase, Apple, and d-Matrix hiring at this level now.
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Apple is seeking a Quantitative User Researcher to join our team supporting the design and execution of user studies that validate the performance of Apple products. In this role, you will partner closely with engineering, design, research operations, and study facilitator teams to design and implement research studies that directly inform product decisions. Your work will directly shape products used by hundreds of millions of people worldwide.
Description
This role operates at the intersection of various disciplines, necessitating collaboration with highly technical partners, rapid adaptation to new domains, and simultaneous management of multiple projects. It demands both scientific expertise and the ability to translate intricate technical requirements into well-designed human subjects research. Success in this role entails translating a deep understanding of how users, use cases, and user behaviors influence product performance into actionable data that informs product decisions.
Minimum Qualifications
- Advanced degree (M.S.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 5+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Strong proficiency in statistical analysis (e.g., regression, ANOVA)
- Proficiency with data processing and statistical tools such as R or Python
- Excellent written and verbal communication skills, with the ability to present technical findings to diverse audiences
Preferred Qualifications
- Advanced degree (PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 3+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Background in biometric measurement, wearables studies, or product performance benchmarking
- Ability to craft compelling, audience-tailored presentations that distill complex data into clear narratives
- Experience leveraging AI tools to accelerate study design, analysis, and insights synthesis
- Experience working in cross-functional product development environments alongside engineering and design teams
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Apple is seeking a Quantitative User Researcher to join our team supporting the design and execution of user studies that validate the performance of Apple products. In this role, you will partner closely with engineering, design, research operations, and study facilitator teams to design and implement research studies that directly inform product decisions. Your work will directly shape products used by hundreds of millions of people worldwide.
Description
This role operates at the intersection of various disciplines, necessitating collaboration with highly technical partners, rapid adaptation to new domains, and simultaneous management of multiple projects. It demands both scientific expertise and the ability to translate intricate technical requirements into well-designed human subjects research. Success in this role entails translating a deep understanding of how users, use cases, and user behaviors influence product performance into actionable data that informs product decisions.
Minimum Qualifications
- Advanced degree (M.S.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 5+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Strong proficiency in statistical analysis (e.g., regression, ANOVA)
- Proficiency with data processing and statistical tools such as R or Python
- Excellent written and verbal communication skills, with the ability to present technical findings to diverse audiences
Preferred Qualifications
- Advanced degree (PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 3+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Background in biometric measurement, wearables studies, or product performance benchmarking
- Ability to craft compelling, audience-tailored presentations that distill complex data into clear narratives
- Experience leveraging AI tools to accelerate study design, analysis, and insights synthesis
- Experience working in cross-functional product development environments alongside engineering and design teams
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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Mid Level Senior Quantitative Researcher Jobs: Frequently Asked Questions
How do I get a mid level senior quantitative researcher job?
Position your existing work around ownership and impact: highlight models you built and deployed independently, research questions you scoped yourself, and decisions your analysis directly informed. Emphasize proficiency in statistical modeling, programming languages like Python or R, and any cross-functional collaboration. Applications that show you can operate with limited oversight and produce defensible, reproducible results stand out most at this level.
Which companies hire mid level senior quantitative researchers?
Companies hiring mid level senior quantitative researchers right now include JPMorganChase, Apple, and d-Matrix, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from firms with established research functions, including financial services, technology companies, and data-intensive enterprises that need researchers who can work independently on complex quantitative problems.
Are there remote mid level senior quantitative researcher jobs?
Yes, remote and hybrid options are widely available at this experience level. About 14% of mid level senior quantitative researcher openings are remote or hybrid as of November 2026, reflecting the nature of quantitative research work, which centers on computation, modeling, and analysis that translates well across distributed team environments.
How do I move up to a mid level senior quantitative researcher role?
The path from entry level to mid level in quantitative research runs through deepening technical specialization and expanding ownership. Early-career researchers grow by moving from executing assigned analyses to scoping and completing projects independently, building expertise in a domain such as risk modeling, experiment design, or machine learning, and demonstrating that their outputs drive measurable decisions. Consistent delivery on progressively complex problems is the clearest signal.
Which industries hire the most mid level senior quantitative researchers?
Mid Level senior quantitative researcher roles concentrate in Investment & Asset Management, Fintech, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they rely on rigorous quantitative methods to price risk, optimize systems, or extract strategic insight from large datasets, creating sustained demand for researchers who can work independently at scale.