Mid Level Quantitative Technologist Jobs
Mid level quantitative technologist jobs go to professionals ready to own modeling pipelines, make methodology decisions with limited oversight, and elevate the work of junior teammates. Openings across Investment & Asset Management, Banking & Financial Services, and Technology & Software are currently on-site, remote, and hybrid, with employers like JPMorganChase, Capital One, and Saragossa 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 Quantitative Technologist Jobs: Frequently Asked Questions
How do I get a mid level quantitative technologist job?
Position yourself around ownership, not just contribution. Hiring managers at this level want to see that you have driven a quantitative project from problem definition through production, not just supported one. Highlight specific models you built, decisions you made independently, and measurable outcomes those decisions produced. A portfolio or GitHub that shows end-to-end work, rather than code fragments, sharpens your application considerably.
Which companies hire mid level quantitative technologists?
Companies hiring mid level quantitative technologists right now include JPMorganChase, Capital One, and Saragossa, based on current listings on Migrate Mate as of November 2026. At this experience level, hiring tends to come from firms with established quant or data science functions that need practitioners who can execute independently and are starting to mentor others.
Are there remote mid level quantitative technologist jobs?
Yes, though availability varies by employer and sector. About 18% of mid level quantitative technologist openings are remote or hybrid as of November 2026, reflecting strong demand from firms that have built distributed technical teams. Financial services and technology companies account for a large share of those flexible arrangements at this experience level.
How do I move up to a mid level quantitative technologist role?
The move from entry level to mid level hinges on accumulated ownership. Early in your career, focus on deepening one technical domain, whether that is stochastic modeling, signal processing, or quantitative risk, until you can execute without close supervision. Taking on progressively larger projects, documenting the results, and volunteering to review or guide peers' work are the signals that separate mid level candidates from those still operating as contributors.
Which industries hire the most mid level quantitative technologists?
Mid Level quantitative technologist roles concentrate in Investment & Asset Management, Banking & Financial Services, and Technology & Software, based on current listings on Migrate Mate as of November 2026. Those sectors drive hiring at this level because they deploy complex quantitative systems at scale and need practitioners who can both build independently and begin shaping the technical direction of a team.