Risk Data Analyst Green Card Jobs
Risk Data Analyst roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available for the position. Strong statistical modeling skills, advanced degrees in quantitative fields, and experience with risk frameworks all support a sponsorship case.
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Get Access To All JobsINTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
As a Senior Risk Data Analyst in our Payments organization, you will play a critical role in defending Roblox from various types of payment fraud across the platform. This includes purchase fraud, developer earnings fraud, and virtual economy-related risk and abuse. Roblox is a high-growth environment, and you will be essential in developing, implementing, and optimizing risk and anti-fraud solutions for our diverse global payment channels. Your work will be critical in safeguarding revenue, protecting our community, and ensuring the financial integrity of our platform, which handles millions of transactions daily. You will work in a data-driven environment, proactively analyzing trends and patterns to detect and prevent complex financial fraudulent activity.
ROLE AND RESPONSIBILITIES
You Will
- Monitor transaction activity and implement detection strategies to prevent fraud.
- Collaborate with cross-functional teams, including engineering, product, and data science, to develop and improve fraud prevention measures.
- Implement, monitor, and tune detection strategies and rules in production to prevent and mitigate payment fraud, minimizing false positives and maximizing loss prevention.
- Collaborate closely with cross-functional teams—including Engineering, Product, Data Science, and Finance—to define, scope, and implement new fraud prevention tools and systemic improvements.
- Conduct deep-dive investigations into emerging risk vectors, documenting findings and preparing regular, actionable reports on financial risk trends, loss rates, and mitigation effectiveness for leadership.
- Analyze and plot data to identify and investigate potential fraud and abuse patterns.
- Contribute to the continuous improvement of our risk management framework, policies, and procedures, ensuring ongoing compliance and operational efficiency across the payments ecosystem.
- Define technical and data requirements to enhance risk-monitoring infrastructure, alerting, and operational tooling used by the wider risk and payments teams.
BASIC QUALIFICATIONS
You Have
- 5+ years of professional experience in an analytical role, with a focus on fraud prevention and risk analysis in a high-volume transactional environment (e.g. e-commerce, fintech, or gaming).
- Proficiency with data analysis tools and techniques, including advanced SQL and Python for data exploration, data visualization, and statistical analysis.
- Direct experience analyzing and addressing different types of payment risk, such as card/fiat fraud, account takeover (ATO), chargeback analysis, and/or developer payout/earning fraud.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and identify trends.
- Familiarity with risk prevention concepts, such as those in anti-fraud, anti-abuse, or trust and safety.
- Excellent communication and stakeholder management skills, with the ability to collaborate effectively with cross-functional teams.
- Degree in a quantitative field such as Data Science, Finance, Economics, Statistics, or a related field.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $134,540—$167,910 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
INTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
As a Senior Risk Data Analyst in our Payments organization, you will play a critical role in defending Roblox from various types of payment fraud across the platform. This includes purchase fraud, developer earnings fraud, and virtual economy-related risk and abuse. Roblox is a high-growth environment, and you will be essential in developing, implementing, and optimizing risk and anti-fraud solutions for our diverse global payment channels. Your work will be critical in safeguarding revenue, protecting our community, and ensuring the financial integrity of our platform, which handles millions of transactions daily. You will work in a data-driven environment, proactively analyzing trends and patterns to detect and prevent complex financial fraudulent activity.
ROLE AND RESPONSIBILITIES
You Will
- Monitor transaction activity and implement detection strategies to prevent fraud.
- Collaborate with cross-functional teams, including engineering, product, and data science, to develop and improve fraud prevention measures.
- Implement, monitor, and tune detection strategies and rules in production to prevent and mitigate payment fraud, minimizing false positives and maximizing loss prevention.
- Collaborate closely with cross-functional teams—including Engineering, Product, Data Science, and Finance—to define, scope, and implement new fraud prevention tools and systemic improvements.
- Conduct deep-dive investigations into emerging risk vectors, documenting findings and preparing regular, actionable reports on financial risk trends, loss rates, and mitigation effectiveness for leadership.
- Analyze and plot data to identify and investigate potential fraud and abuse patterns.
- Contribute to the continuous improvement of our risk management framework, policies, and procedures, ensuring ongoing compliance and operational efficiency across the payments ecosystem.
- Define technical and data requirements to enhance risk-monitoring infrastructure, alerting, and operational tooling used by the wider risk and payments teams.
BASIC QUALIFICATIONS
You Have
- 5+ years of professional experience in an analytical role, with a focus on fraud prevention and risk analysis in a high-volume transactional environment (e.g. e-commerce, fintech, or gaming).
- Proficiency with data analysis tools and techniques, including advanced SQL and Python for data exploration, data visualization, and statistical analysis.
- Direct experience analyzing and addressing different types of payment risk, such as card/fiat fraud, account takeover (ATO), chargeback analysis, and/or developer payout/earning fraud.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and identify trends.
- Familiarity with risk prevention concepts, such as those in anti-fraud, anti-abuse, or trust and safety.
- Excellent communication and stakeholder management skills, with the ability to collaborate effectively with cross-functional teams.
- Degree in a quantitative field such as Data Science, Finance, Economics, Statistics, or a related field.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $134,540—$167,910 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Risk Data Analyst
Document your quantitative credentials thoroughly
Gather transcripts, degree certificates, and official translations before outreach. PERM requires your employer to prove your qualifications match the job's minimum requirements, so gaps between your listed credentials and the posted role can stall certification.
Target firms with active PERM filing history
Financial institutions, insurance carriers, and consulting firms that regularly file PERM applications for data and analytics roles are far more likely to sponsor than companies encountering the process for the first time. Use Migrate Mate to filter specifically for employers with green card sponsorship history in quantitative roles.
Align your job title with DOL wage classifications
Risk Data Analyst maps to specific Standard Occupational Classification codes that determine your prevailing wage level under PERM. Use the OFLC Wage Search to check which wage tier applies in your target metro area before negotiating an offer.
Clarify sponsorship intent before accepting an offer
Ask directly during the offer stage whether the employer will cover PERM filing and I-140 petition costs, and whether they use outside counsel. Some firms sponsor but pass legal fees to employees, which affects your actual cost and timeline expectations.
Understand how your priority date affects wait times
EB-3 sponsorship has no annual cap on petitions, but visa number availability depends on your country of birth. Indian and Chinese nationals face multi-year backlogs in EB-3 even after I-140 approval, so factor your priority date into long-term planning.
Use O*NET to build a stronger specialty occupation case
The O*NET occupation profile for risk analysts details the degree requirements and specialized knowledge USCIS evaluates when assessing whether a role qualifies for EB-2. Mapping your actual duties to O*NET's task and skills taxonomy strengthens your employer's petition.
Risk Data Analyst jobs are hiring across the US. Find yours.
Find Risk Data Analyst JobsRisk Data Analyst Green Card Sponsorship: Frequently Asked Questions
Does a Risk Data Analyst role qualify for EB-2 or EB-3 sponsorship?
Most Risk Data Analyst positions qualify for EB-3 as skilled workers, requiring at least a bachelor's degree in a quantitative field like statistics, mathematics, or computer science. Roles requiring a master's degree or equivalent specialized experience in advanced risk modeling or quantitative finance may support an EB-2 petition. Your employer's job description and your actual credentials determine which category applies.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B is a temporary work visa requiring annual renewal and subject to a lottery, while PERM sponsorship leads to permanent residency with no recurring lottery risk. The PERM process requires your employer to conduct a federally supervised recruitment campaign proving no qualified U.S. worker is available. Once your I-140 is approved, your priority date is locked regardless of employer or job changes within the same occupational category.
How long does the PERM and green card process take for a Risk Data Analyst?
PERM labor certification currently takes 12 to 18 months at DOL, followed by USCIS processing of the I-140 immigrant petition, which runs 6 to 12 months for standard processing. After I-140 approval, visa availability depends on your country of birth. Applicants from countries without significant backlogs, such as Australia or the UK, can often adjust status within two to three years of starting PERM.
Where can I find Risk Data Analyst jobs that already offer green card sponsorship?
Migrate Mate lets you search specifically for Risk Data Analyst roles at employers with documented EB-2 and EB-3 sponsorship history, so you're not guessing about a company's willingness to sponsor. Filtering by sponsorship track record saves significant time compared to applying broadly and raising the topic cold during interviews.
Can I switch employers after my employer files PERM for a Risk Data Analyst position?
You can change employers after your I-140 has been approved for at least 180 days, as long as your new role is in the same or a similar occupational classification under AC21 portability rules. The new employer doesn't need to restart PERM, but your new role must be substantially similar in duties and qualifications to the one on the approved petition.
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