Job
Core
Develop and maintain scoring models and decision strategies for automatic customer assessment and credit decisioning in core banking processes.
Role type
Data Scientist (Credit Decisioning & Scoring)
Builds
Scorecards, decision strategies, and analytical solutions for customer assessment and credit risk.
Domain
Banking / Financial Services / Credit Risk
Deliverable
production ML models
Required skills
Python, R, SAS, statistical modeling, data mining, machine learning, data architecture, large-scale data handling, business risk analysis, process optimization
Preferred skills
OCR, prompt engineering, LLM-based solutions, cloud AI platforms (Azure/Foundry), banking experience
Technologies
Python, R, SAS, Microsoft Excel, Azure, Foundry
Responsibilities
Design and implement decision rules aligned with bank policies; develop advanced analytical models to optimize decision-making; analyze customer management processes; translate business needs into analytical solutions; perform ad-hoc analysis; validate data quality and integrity.
Seniority
Mid-level, hands-on IC
