Data Quality Scientist - AI & Innovation (Credit Risk) | Risk
Core
Develop and implement machine learning models and AI solutions to optimize credit risk data lifecycle, governance, and compliance within a bank.
Role type
Senior IC data scientist (credit risk & AI)
Builds
Production ML models and data governance solutions for credit risk monitoring
Domain
Banking / Credit Risk / Data Science
Deliverable
production ML models
Required skills
Machine learning, deep learning (genAI), Python, SQL, statistical methods, data mining, predictive modeling, feature engineering, model evaluation
Preferred skills
Experience in banking/financial institutions, deep learning frameworks, data visualization
Technologies
Python, SQL, deep learning frameworks
Responsibilities
Design and implement ML models for credit risk data optimization, conduct exploratory data analysis and feature engineering, collaborate with teams to prioritize business problems, translate business requirements into data-driven solutions, stay updated on AI/ML developments
Seniority
Senior, hands-on IC
