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 companys rapid expansion and safeguard billions in revenue.
Our teams 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 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.
- Uplevel 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
You have:
- 6 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
- Bachelors Degree or above in Computer Science or another quantitative field
Required Experience:
Senior IC
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...
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 companys rapid expansion and safeguard billions in revenue.
Our teams 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 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.
- Uplevel 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
You have:
- 6 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
- Bachelors Degree or above in Computer Science or another quantitative field
Required Experience:
Senior IC
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