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 improve portfolio quality.
Role type
Data Scientist - Risk Analytics & Modelling
Builds
SQL-based features, analyses, and monitoring dashboards
Domain
Financial services / Credit risk
Deliverable
dashboards & analysis
Required skills
Python, SQL, statistical analysis, root cause analysis, data exploration, 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 on deteriorating risk indicators, build and maintain SQL-based monitoring dashboards, evaluate models to support credit scoring improvements
Seniority
Entry-level to Mid-level