Manager, Credit Data Science

To manage the optimal development deployment maintenance and monitoring of high-quality credit risk models throughout the credit life cycle upholding model governance standards. Apply innovative machine learning techniques conduct customer-centric data analytics and contribute to dashboard creation.

Qualifications :

Type of Qualification: First Degree
Field of Study: Mathematical Sciences Risk Management Analytics Quantitative Studies

Experience Required
Credit Risk BCB
Risk & Corporate Affairs
8-10 years
Be able to identify and implement process improvements in model development deployment and monitoring workflows within banking environments.

8-10 years
Develop monitoring dashboards and effectively communicating analytical insights and KPIs to stakeholders. Ensuring adherence to model risk management and governance standards ensuring compliance with regulations and internal governance requirements specific to credit risk models. Strong communication skills particularly in translating technical modelling concepts into actionable insights for non-technical stakeholders supporting decision-making.

8-10 years
Experience in credit risk modelling including development enhancement deployment and monitoring of credit risk models across the credit life cycle and various portfolios. Experienced in the application of machine learning techniques specifically for credit risk modelling enhancing predictive modelling accuracy. Experience and knowledge of client-centric data analytics interpreting complex data sets for credit risk assessment and leveraging alternative data sources.

Additional Information :

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Developing Expertise
• Developing Strategies
• Documenting Facts
• Interpreting Data
• Providing Insights

Technical Competencies:

• Collaboration
• Creative Problem Solving
• Data Analytics & Visualization
• Logical Reasoning
• Quantitative Analysis
• Statistical & Mathematical Analysis

Please note: All our recruitment processes comply with the applicable local laws and regulations.

We will never ask for money or any form of payment as part of our recruitment process. If you experience this please contact our Fraud line on 27 or 

Remote Work :

No

Employment Type :

Full-time