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
dashboards & analysis
Required skills
Python, SQL, statistical analysis, root cause analysis, large tabular dataset exploration, credit scoring modelling concepts
Responsibilities
Monitor portfolio risk metrics and flag anomalies, perform root cause analysis when risk indicators deteriorate, build and maintain SQL-based monitoring dashboards, translate risk findings into concrete recommendations, evaluate models to support credit scoring improvements
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