Sr Data Scientist

About the role

Responsible for development of AI/ML models to identify risks (such as fraud or credit risk) while ensuring these models are auditable, explainable, and compliant with data privacy laws

What you'll do

• Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches
• Conduct deep-dive analyses into risk events, identifying root causes to improve risk strategies and operational workflows
• Analyze large datasets to identify patterns, anomalies, and emerging risks
• Performs data validation, cleansing, and reconciliation for regulatory reporting
• Ensure alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols

What you need

• 4–6 yrs of experience
• Machine learning
• Statistics
• AML
• Reconciliation
• Credit risk
• Data privacy
• Any graduate

Good to have

• Financial statements