Related skills
data analysis sql machine learning ach nacha๐ Description
- Own end-to-end ACH risk controls and fraud prevention.
- Detect and mitigate fraudulent deposit activity with targeting logic.
- Lead quantitative fraud performance analysis and reporting.
- Partner with Product, Growth, Data Science, Risk ML, Engineering to evolve risk strategies.
- Investigate anomalous customer/transaction activity and close gaps.
๐ฏ Requirements
- 4+ years in risk/fraud/payments ops; 2+ years in fintech fraud.
- 2+ years SQL; independently scope and run analytics end-to-end.
- Experience using identity-provider data and fraud tooling.
- Strong knowledge of ACH processing and NACHA rules.
- Measure fraud impact and present findings to leadership.
- GenAI tooling with human-in-the-loop; ML and blockchain analytics familiarity.
๐ Benefits
- Remote-first with quarterly in-person surges.
- Equal Opportunity Employer; diverse and inclusive.
- Accommodations: request via accommodations@coinbase.com.
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