E-3 Visa Risk Data Analyst Jobs
Risk Data Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a quantitative field. Australian professionals can secure employer sponsorship through the E-3 without entering a lottery, with no annual cap limiting your options and indefinite two-year renewals tied to continued employment.
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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.

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 E-3 Visa Sponsorship as a Risk Data Analyst
Translate your Australian credentials for U.S. employers
U.S. hiring teams may not recognize Australian degree naming conventions. Frame your quantitative degree explicitly as equivalent to a U.S. bachelor's in statistics, mathematics, or data science to avoid specialty occupation doubts during the LCA review.
Target financial services and insurance firms first
Banks, insurers, and credit institutions have dedicated risk functions and established E-3 filing workflows. These employers already understand the specialty occupation argument for risk data roles, which shortens the sponsorship conversation significantly.
Request a compliant job description before signing
Your offer letter's job title and duties must support the specialty occupation classification the DOL reviews during LCA certification. Ask your prospective employer to confirm the description explicitly requires a degree in a specific quantitative field.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
The LCA must be certified by the DOL before your consulate appointment, and errors in wage level classification or job duties can cause delays. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing that risk.
Search for roles with active E-3 sponsorship history on Migrate Mate
Not every employer advertising risk analyst roles will sponsor an E-3. Use Migrate Mate to filter for employers with documented E-3 sponsorship activity so your applications go to companies already set up to file.
Risk Data Analyst jobs are hiring across the US. Find yours.
Find Risk Data Analyst JobsRisk Data Analyst E-3 Visa: Frequently Asked Questions
How do I find Risk Data Analyst jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search for Risk Data Analyst roles filtered by E-3 visa sponsorship history. Many employers advertise analyst positions without specifying visa support, so filtering by confirmed sponsorship activity saves time. Migrate Mate surfaces roles where employers have already navigated the E-3 process, making your application process significantly more direct.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Risk Data Analyst role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific quantitative field such as statistics, mathematics, actuarial science, or data science. The role must genuinely require that degree, not merely prefer it. Generalist analyst roles where any degree suffices can face LCA scrutiny, so the job description's degree requirement language matters.
How does the E-3 compare to the H-1B for Risk Data Analyst roles?
The E-3 has no annual lottery and no numerical cap, so Australian professionals can apply at any point in the year and receive a decision at the consulate without waiting for a selection round. H-1B registration opens once annually and selection is randomized. For risk data roles, the E-3 is faster to activate once you have an offer and a certified LCA from the DOL.
Can I switch Risk Data Analyst employers while on an E-3?
Yes, but the E-3 is tied to your employer, so you'll need a new LCA certified by the DOL and a new visa stamp for the incoming role. You can begin working for the new employer once your consulate appointment is complete. There's no formal portability rule like H-1B's AC21, so plan your transition timeline to avoid a gap in authorized status.
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