Related skills
sql python tensorflow fraud detection anomaly detection📋 Description
- Design and deploy fraud detection models to protect users and assets in real time
- Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
- Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
- Partner with engineering and product teams to implement safeguards and user-facing features
- Guide experimentation strategy and contribute to long-term fraud prevention roadmap
🎯 Requirements
- 3+ years in data science or ML with focus on fraud detection or risk mitigation
- Advanced Python and SQL; experience with XGBoost, LightGBM, or TensorFlow
- Strong statistical acumen in anomaly detection, pattern recognition, and A/B testing
- Excellent communication and ability to influence across technical and non-technical teams
- Collaborative mindset with proactive approach in fast-paced environments
🎁 Benefits
- Total Rewards vary by region and entity
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