CREDIT RISK DATA SCIENTIST AT TEKNOWLEDGE | DATA SCIENTIST JOBS IN LAGOS

About Company:

At TeKnowledge, we turn complexity into clarity  and potential into progress. We go beyond problem-solving to transform how you grow. By blending cutting-edge technology with expert insight, we help enterprises, governments and tech vendors tackle their biggest challenges while preparing them for what’s next.

Job Description:

The Credit Risk Data Scientist will be responsible for developing, validating, and maintaining credit risk models (including PD models) to support risk management and regulatory compliance. The role will collaborate with business stakeholders, IT teams, data engineers, and MLOps teams to deliver scalable, production-ready risk models and monitoring frameworks that drive informed business decisions and ensure model governance compliance across the model lifecycle.

Requirements:

• 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)

Qualifications and Skills:

• Bachelor’s Degree (required) in Data Science, Machine Learning, Artificial Intelligence, Statistics, Economics, Finance, Mathematics, Computer Science, Software Engineering, or a related technical field
• Master’s Degree or higher preferred
• Technical Degree required.
• 5–9 years of experience, with 6+ years developing PD and other credit risk models in financial institutions
• Hands-on experience in statistical modeling and machine learning techniques

Salary

Application Closing Date: Not specified

Application Instructions:

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