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sql python machine learning identity verification modeling📋 Description
- Lead fraud strategy and team to protect profitability.
- Identify fraud drivers with deep-dive SQL analysis.
- Implement real-time mitigations balancing risk and conversion.
- Reduce false positives to keep legitimate users frictionless.
- Deploy major anti-fraud initiatives (ID verification, biometrics, ML).
- Build a real-time fraud reporting system for exec decisions.
🎯 Requirements
- 3+ years in high-impact analytical roles.
- SQL mastery with ability to write complex queries.
- Experience deconstructing attacks or losses via data.
- Strong commercial sense; connect data to P&L.
- Experience with credit risk or policy decisions under uncertainty.
- Cross-functional influencing and technical execution.
🎁 Benefits
- Make a meaningful impact on Colombia's financial ecosystem.
- Ground-up ownership and fast growth trajectory.
- Work with a world-class, international team.
- Strong ownership of fraud infra and roadmap.
- Competitive equity and long-term incentives.
- Fast, transparent hiring process with feedback.
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