Senior Risk Data Analyst

• 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. 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. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.