Fraud Machine Learning Analyst

The Fraud Machine Learning Analyst will combine analytical skills and fraud detection knowledge to help perfect our machine learning engine which powers our identity verification platform, ensuring world-class security for our partners.

• Experience in Fraud, AML, Cybercrime, or Risk Management within tech, gaming, finance, or related sectors.

• Proven problem-solving and analytical abilities with a strong aptitude for pattern recognition, fraud trend analysis, and predictive modeling

• Excellent communication and teamwork skills, with the ability to translate complex technical and analytical concepts for a broad audience.

• Serve as an advisor for product, engineering, and analytics teams, translating fraud analysis into best practices and procedural improvements.​

• Collaborate on the development and deployment of fraud rule logic—leveraging analytics, experimentation, and feedback to drive ongoing improvements.

• Create and optimize fraud detection rules based on expert analysis of data and emerging fraud trends.

• Perform in-depth analyses of fraud patterns, operational data, and threat intelligence to uncover vulnerabilities, and present actionable insights to leadership and cross-functional teams.​

• Monitor, document, and report on effectiveness of fraud prevention initiatives, sharing key metrics and trends across the business.