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Team Tagline
About the role
TeKnowledge is seeking a Credit Risk Data Scientist to develop, validate, and maintain credit risk models (including PD models) to support risk management and regulatory compliance. The role collaborates with business stakeholders, IT teams, data engineers, and MLOps teams to deliver scalable, production-ready risk models and monitoring frameworks. You'll be part of a diverse, inclusive team working on cutting-edge AI, cybersecurity, and digital solutions.
Required Skills
Preferred Skills
Responsibilities
- Develop, validate, and maintain PD and other credit risk models with proper documentation and performance evaluation
- Perform exploratory data analysis, feature engineering, and model experimentation using Python and Jupyter notebooks
- Prepare, transform, and analyze data using Python and advanced SQL
- Collaborate with business stakeholders and IT teams to gather requirements and communicate model insights
- Partner with data engineers and MLOps teams to package and deploy models into production
- Implement and maintain model monitoring frameworks (data drift detection, stability metrics, performance tracking)
- Design and maintain cloud-based workflows using Python, SQL, and Azure services to automate analytics pipelines
- Ensure compliance with model governance, regulatory standards, and internal risk policies across the model lifecycle
- Refactor and optimize model code for readability, scalability, modularity, and performance
- Support CI/CD pipelines for model development and deployment
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