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etl sql python kyc fraud detection📋 Description
- Define the vision for Data Science in risk and compliance.
- Lead end-to-end ML for AML, KYC/KYB, fraud scoring.
- Ensure auditability and fairness in models.
- Develop data risk frameworks: data quality, integrity, security.
- Establish rules management to meet regulatory thresholds.
- Build, measure, and monitor dashboards for models and rules.
🎯 Requirements
- Master's degree or PhD in CS/DS/Statistics/Math or related.
- 12+ years in data science/modeling roles, preferably in compliance.
- Strong ETL, data modelling, and data warehousing.
- Proficient in Python, R, and SQL; AI/ML algorithms.
- Familiarity with AML, KYC, sanctions, and regulatory reporting.
- Experience with dashboards (Power BI, QlikView, QlikSense).
🎁 Benefits
- Competitive salaries, bonuses, and equity where applicable.
- Medical coverage and 24/7 EAP.
- Hybrid work: 3 days in the office.
- Learning stipend and role-specific training.
- Team events, offsites, and a diverse, inclusive culture.
- Career growth and internal mobility opportunities.
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