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.
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Proven problem-solving and analytical abilities with a strong aptitude for pattern recognition, fraud trend analysis, and predictive modeling
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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.​
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Collaborate on the development and deployment of fraud rule logic—leveraging analytics, experimentation, and feedback to drive ongoing improvements.
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Create and optimize fraud detection rules based on expert analysis of data and emerging fraud trends.
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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.​
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Monitor, document, and report on effectiveness of fraud prevention initiatives, sharing key metrics and trends across the business.
