Data Scientist - Risk Analytics & Modelling
Core
Monitor portfolio risk metrics, perform root cause analysis on risk indicators, and translate findings into actionable credit decisions to balance risk control with growth.
Role type
Data Scientist - Risk Analytics & Modelling
Builds
SQL-based features, analyses, and monitoring dashboards for risk surveillance
Domain
Financial services / Credit risk
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, statistical analysis, root cause analysis, anomaly detection, large tabular dataset handling, credit scoring modelling concepts
Preferred skills
Credit scoring modelling concepts
Technologies
Python, SQL, MS Excel
Responsibilities
Monitor portfolio risk metrics and flag anomalies, perform root cause analysis when risk indicators deteriorate, translate findings into concrete recommendations, build and maintain SQL-based monitoring dashboards, perform occasional model evaluation for credit scoring improvements
Seniority
Mid-level, hands-on IC