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, data governance controls, and automated risk monitoring solutions
Domain
Banking / Credit Risk / Financial Services
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 deploy ML models for credit risk, conduct exploratory data analysis and feature engineering, optimize data governance and quality controls, collaborate with stakeholders to translate business requirements into data solutions, stay updated on AI/ML developments to drive innovation
Seniority
Senior, hands-on IC