Senior Software Engineer - Economy Fraud

As an Economy Fraud engineer, you defend Roblox from all types of fraud, including purchasing and selling virtual items, real-time bidding of advertising slots, 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 Will:

• Develop backend services, fraud platform components, and data pipelines that feed into our ML models.
• Collaborate with our cross-functional team members including those in product, machine learning, and data science.

You Have:

• 6+ years of professional experience working with scalable, distributed systems
• Knowledge of large-scale, data-driven architecture, API design, data modeling, and SQL / NoSQL data storage.
• Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders.
• Experience in the following is a plus but not required: 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.
• Bachelor's Degree or above in Computer Science or another quantitative field