Senior Risk Data Analyst

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.

• 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.

• 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.

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…