About
Collaborate with Trust and Safety teams to detect and address emerging fraud patterns across the network Analyze large-scale datasets to identify patterns and anomalies, leading forensic investigations during fraud spikes Build and tune models, dashboards, and decision logic to help customers achieve their business objectives
Required qualifications
5-8 years of experience in fraud, trust & safety, or a closely related technical domain Strong SQL and Python skills, with a focus on data analysis rather than pipeline development Solid understanding of machine learning concepts applied to fraud detection Experience analyzing large behavioral or transactional datasets for fraud pattern recognition Customer-facing experience with the ability to communicate technical findings to diverse stakeholders
Languages
- English
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