Senior Risk Data Analyst

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.

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.

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.