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data analytics fintech sql python fraud detection📋 Description
- Define and evolve risk frameworks across the customer lifecycle.
- Design, develop, and own core fraud and risk metrics.
- Collaborate with Product, Engineering, and Risk Ops to scale insights.
- Integrate external data sources to boost risk detection.
- Define data requirements and work with Eng to build data pipelines.
- Lead fraud analytics and set best practices for measurement.
🎯 Requirements
- 6–8 years of data analytics, payments risk & fraud; fintech a plus.
- Strong SQL and Python skills with analytical tools.
- Proven ability to analyze large, complex datasets to extract insights.
- Experience turning ambiguous problems into analytical frameworks and outcomes.
- Excellent communication with cross-functional and executive stakeholders.
- Strategic thinker with curiosity and impact focus.
🎁 Benefits
- Hybrid work model with in-person collaboration.
- Competitive total rewards with benefits and equity.
- Commitment to diversity, equity, and inclusion.
- Collaborative culture that encourages learning and growth.
- Flexible location and global teams.
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