Related skills
business intelligence sql databricks ai fraud detection📋 Description
- End-to-End Case Ownership: Lead resolution of complex card payment risk cases.
- Rule Management & Strategy: Design, implement, refine issuing risk rules.
- AI-Driven Optimisation: Use AI tools and automated workflows to boost detection.
- Critical Stakeholder Collaboration: Partner with Product, Engineering, and Compliance.
- Process Evolution: Translate escalations into structural process improvements.
🎯 Requirements
- Background in card payment risk, fraud ops, or ATO risk in FinTech.
- Experience using SQL/Databricks and BI tools for fraud analysis.
- Collaborate with a global network across regions and product launches.
- Strong ownership with end-to-end problem solving.
- Ability to learn new processes quickly and handle diverse cases.
- Use AI/LLMs and automation to boost risk control and efficiency.
🎁 Benefits
- Global, cross-functional team collaboration.
- Apply AI and automation to scale risk operations.
- Own high-impact risk initiatives with global scope.
- Career growth in a fast-growing fintech environment.
- Work on cutting-edge fraud detection and controls.
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