Data Scientist orienté risque / fraude / conformité bancaire
Tasks
- Adapt metrics and calculation bases
- Adjust detection thresholds
- Analyze alerts volumes amounts and behaviors
- Analyze bank monitoring framework
- Assess risk and impact of proposed changes
- Create runbooks for autonomous team operation
- Design detection logic
- Document scenario and detection rules
- Enrich scenario catalog
- Evaluate performance of existing detection rules
- Formalize recalibration methodologies
- Identify scenarios generating false positives
- Integrate customer variables
- Justify design choices and tradeoffs
- Optimize auto learning rules
- Prepare configuration of new monitoring tool
- Prepare future monitoring tool
- Produce decision support summaries
- Recalibrate detection models and scenarios
- Transfer knowledge to internal teams
Perks/Benefits
Skills/Tech-stack
AML | Analytical scripting | Auto-learning | Data Analysis | Data Lake | Data Science | Detection rules | Fraud Detection | LCBFT | Machine Learning | Model Recalibration | Python | Risk Assessment | SQL | Statistical Analysis | Threshold Optimization
Education
N/A
Roles
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