As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams, money laundering, and payment fraud.

Roblox is a high-growth, unique product environment. You will be developing anti-fraud and abuse solutions for web, mobile, and 3D environments. This high impact work and your innovation is critical for the well-being of our community and to the future of our company. We aim for our users to have peace of mind that their communities and transactions are protected. Our defenses also protect our company's rapid expansion and safeguard billions in revenue. Roblox's virtual marketplace handles over 4 million transactions a day, and enables our top developers to make millions of dollars a year.

Our team's challenges are not just regular day-to-day technical challenges. Fraud and abuse approaches need to shift over time, depending on the current behaviors of fraudsters. As an Economy Fraud engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior.

You Have:

• 4+ years of professional experience working with scalable, distributed systems
• Strong experience in large-scale, data-driven architecture, API design, data modeling, and SQL / NoSQL data storage.
• Experience in risk prevention, machine learning, or analytical work. Risk prevention may include but is not limited to anti-Fraud, anti-Abuse, or Trust & Safety. Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical Modeling, or Research.
• Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders.
• Strong ownership with proactive, candid communication, and an ability to handle high complexity
• Bachelor's Degree or above in Computer Science or another quantitative field

You Will:

• Develop backend services, fraud platform components, and pipelines to implement product logic, encourage eng efficiency, and produce features for ML models.
• Be a Tech Lead that contributes to our Technical Roadmap and Risk Defense strategy.
• Up-level our data mining and data-driven approaches.
• Occasionally perform data analysis to understand our Fraud & Abuse domain.
• Occasionally bridge communication between generalist backend engineers, and data scientists and ML engineers.
• Help recruit future talent for the team

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

$196,750-$243,290 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).