Job Description
Investigating fraud attacks and quantifying impact, proposing rule-based mitigations with fraud ops/engineering, building and maintaining fraud reporting/dashboards, and identifying emerging fraud patterns proactively.
Requirements
4+ years' experience as a Data Analyst (Fraud) or similar; strong SQL proficiency for complex queries; experience in fraud, risk, or financial services; strong stakeholder management and communication skills; bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Tools: SQL, BI tools (PowerBI, Looker, Tableau, Superset, or Redash), Microsoft Excel/Google Sheets; Python and Git a plus
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