Mid Level Quant Researcher Jobs
Mid level quant researcher jobs go to researchers ready to own modeling pipelines end to end, mentor junior analysts, and shape research direction with limited oversight. Hiring is spread across on-site, hybrid, and remote settings in Investment & Asset Management, Technology & Software, and Electronics & Hardware, with employers like Apple, PIMCO, and d-Matrix competing for researchers 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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Top Industries Hiring
- Investment & Asset Management
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
- Banking & Financial Services
Mid Level Quant Researcher Jobs: Frequently Asked Questions
How do I get a mid level quant researcher job?
Position yourself around ownership, not just contribution. Highlight projects where you drove methodology decisions, improved model performance, or delivered research that changed a business outcome. Tailor your resume to show depth in a specific domain such as risk, alpha generation, or derivatives pricing. Hiring managers at this level want evidence you can work independently and defend your assumptions under scrutiny.
Which companies hire mid level quant researchers?
Companies hiring mid level quant researchers right now include Apple, PIMCO, and d-Matrix, based on current listings on Migrate Mate as of November 2026. Hiring at this level is concentrated among hedge funds, proprietary trading firms, investment banks, and fintech companies that run in-house quantitative research teams.
Are there remote mid level quant researcher jobs?
Yes, though availability varies by firm type. About 25% of mid level quant researcher openings are remote or hybrid as of November 2026, with hybrid arrangements most common at large financial institutions and fully remote roles more typical at technology-focused trading firms or fintech startups.
How do I move up to a mid level quant researcher role?
Moving from entry level to mid level requires building a record of independent research output. Focus on owning at least one project from problem framing through production implementation, deepening expertise in a specific asset class or modeling discipline, and demonstrating that your work influenced real decisions. Peer review experience and familiarity with production code quality also signal readiness for mid level responsibilities.
Which industries hire the most mid level quant researchers?
Mid Level quant researcher roles concentrate in Investment & Asset Management, Technology & Software, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their revenue depends directly on model accuracy, risk quantification, and the ability to extract signal from large, complex datasets.