Investigate emerging fraud patterns and modus operandi across merchants by analyzing large-scale transactional data with SQL, R, and Python. Collaborate with Data Science, Product, Engineering, Risk Operations, and Account Management to develop and improve fraud-detection tools. Monitor detection performance, identify gaps and drift, translate findings into actionable insights, and document methodologies. The role supports fraud prevention, detection accuracy, and merchant performance.

Work with enterprise customers to analyze live ecommerce data, research fraud trends, build end-to-end technical solutions, and deliver actionable insights using R, SQL, and Python. Collaborate cross-functionally and present findings to technical and non-technical stakeholders.