STEM OPT Quantitative Research Analyst Jobs
Quantitative Research Analyst roles sit squarely within STEM-designated fields, making them strong fits for F-1 students seeking the 24-month STEM OPT extension. Your employer must be enrolled in E-Verify, and your degree in mathematics, statistics, computer science, or a related STEM field must map to an eligible CIP code to qualify.
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Get Access To All JobsABOUT 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.
The Cloud Security Product Analytics team works within the Strategy and Operations group to equip Google Security business leaders with the data and insights they need to confidently make decisions that improve our business and products.
In this role, you will leverage your data engineering, data science, and analytical skills to build trusted data sets and executive-level insights tailored to the Cloud Security portfolio. You will analyze product utilization and feature usage to understand customer satisfaction and retention, specifically focusing on how new tools drive engagement. You will manage the ambiguity and complexity of the current data environment while collaborating with Product Managers and UX teams to activate changes. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
SALARY
- US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 6 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 with SQL for data extraction and manipulation.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
- Experience with machine learning techniques and libraries.
- Experience with datasets and distributed computing systems such as Google Cloud Platform or BigQuery.
- Experience building and maintaining data pipelines and extract, transform, load (ETL) processes to support product strategy.
Responsibilities
- Partner with Product, Engineering, and go-to-market (GTM) leadership to answer critical questions through rigorous data analysis.
- Conduct deep-dive analyses to understand user behavior, identify trends, and uncover opportunities for product growth.
- Apply statistical methods and modeling techniques to extract insights and build predictive models for product performance.
- Develop and monitor core metrics and dashboards to track user engagement and business outcomes.
- Design and maintain data pipelines that aggregate and enrich key product data to power scalable analyses.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Sunnyvale, CA, USA.
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.
The Cloud Security Product Analytics team works within the Strategy and Operations group to equip Google Security business leaders with the data and insights they need to confidently make decisions that improve our business and products.
In this role, you will leverage your data engineering, data science, and analytical skills to build trusted data sets and executive-level insights tailored to the Cloud Security portfolio. You will analyze product utilization and feature usage to understand customer satisfaction and retention, specifically focusing on how new tools drive engagement. You will manage the ambiguity and complexity of the current data environment while collaborating with Product Managers and UX teams to activate changes. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
SALARY
- US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 6 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 with SQL for data extraction and manipulation.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
- Experience with machine learning techniques and libraries.
- Experience with datasets and distributed computing systems such as Google Cloud Platform or BigQuery.
- Experience building and maintaining data pipelines and extract, transform, load (ETL) processes to support product strategy.
Responsibilities
- Partner with Product, Engineering, and go-to-market (GTM) leadership to answer critical questions through rigorous data analysis.
- Conduct deep-dive analyses to understand user behavior, identify trends, and uncover opportunities for product growth.
- Apply statistical methods and modeling techniques to extract insights and build predictive models for product performance.
- Develop and monitor core metrics and dashboards to track user engagement and business outcomes.
- Design and maintain data pipelines that aggregate and enrich key product data to power scalable analyses.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Sunnyvale, CA, USA.
See all STEM OPT Quantitative Research Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Quantitative Research Analyst
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM OPT designated degree program list. Statistics, applied mathematics, financial engineering, and computer science programs almost always qualify, but interdisciplinary degrees sometimes don't.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the firm is enrolled in E-Verify before you invest time in later interview rounds. Hedge funds and boutique quant shops sometimes aren't enrolled, even when they're otherwise willing to hire OPT students.
Use Migrate Mate to target verified sponsors
Search Quantitative Research Analyst roles on Migrate Mate, which filters for employers with confirmed STEM OPT hiring history. This cuts out the guesswork of cold-applying to firms that have never filed for OPT students.
Benchmark your offer against DOL prevailing wages
Pull the wage level for your specific role and metro area using the OFLC Wage Search before you negotiate. Employers filing a training plan under STEM OPT must pay you the prevailing wage for your occupation, so knowing Level II or III rates gives you a factual baseline.
File your I-983 training plan before your OPT end date
Work with your DSO to submit the I-983 at least 90 days before your initial OPT expires. Quantitative research roles must describe specific learning objectives tied to your STEM degree, not generic job duties, or USCIS can reject the plan.
Understand cap-gap coverage if you're H-1B selected
If your employer files an H-1B visa petition and you're selected in the lottery, cap-gap automatically extends your STEM OPT work authorization through September 30. Confirm your employer intends to file in March so you can plan your authorization timeline accurately.
Frequently Asked Questions
Does a Quantitative Research Analyst role qualify for the STEM OPT extension?
Yes, in most cases. The role falls under SOC codes tied to mathematical science and operations research occupations, which are covered by STEM OPT. Your degree, not just your job title, must also map to an eligible CIP code on the STEM designated degree program list. Degrees in statistics, applied mathematics, financial engineering, and computer science routinely qualify. Confirm your specific CIP code with your DSO before filing.
What does my employer need to do to support my STEM OPT?
Your employer must be enrolled in E-Verify and must sign the I-983 training plan alongside you. The plan requires them to describe specific technical skills and learning objectives your role will develop, not just list your job duties. They also must attest that you'll be paid at least the prevailing wage for your occupation and location, as determined by DOL wage data. Employers who have never hired STEM OPT students before sometimes underestimate this paperwork burden.
How do I find Quantitative Research Analyst positions where the employer is already enrolled in E-Verify?
Migrate Mate filters for employers with confirmed STEM OPT hiring history, so you can focus on firms that are already enrolled in E-Verify and familiar with the I-983 process. This matters especially in the quant space, where many boutique hedge funds and prop trading firms are willing to hire but haven't completed E-Verify enrollment, which disqualifies them as STEM OPT employers regardless of intent.
What happens to my STEM OPT if my employer's E-Verify enrollment lapses?
Your STEM OPT authorization is tied to your employer maintaining active E-Verify enrollment throughout your extension period. If enrollment lapses, you're technically out of status even if you continue working. USCIS requires ongoing compliance, not just enrollment at the time of filing. Verify your employer's E-Verify status with your DSO periodically, and confirm it again before each annual I-983 attestation.
What happens to my work authorization if I'm selected in the H-1B lottery while on STEM OPT?
Cap-gap protection automatically extends your STEM OPT work authorization if your employer files an H-1B petition on your behalf and you're selected. Your authorization continues through September 30 of that year, bridging the gap until the H-1B start date of October 1. Your employer must file the petition before your STEM OPT expires for cap-gap to apply. Confirm the filing timeline with your employer well before the March registration window closes.