Credit Analytics and Modeling Manager ( MT3)- Credit Department
Listing reference: capbw_001831
Listing status: Under Review
Apply by: 13 September 2024
Position summary
Industry: Banking
Job category: Credit Analysis and Risk Management
Location: Windhoek
Contract: Permanent
EE position: No
Introduction
Develop and implement sophisticated credit models aimed at enhancing credit scoring, application scoring, and overall credit risk management and process optimisation.
Job description
KEY PERFORMANCE AREAS (KPAs)
- 1. MODEL DEVELOPMENT AND IMPLEMENTATION
- Develop and implement credit models and streamline credit decision processes. This involves creating models, validating them, and integrating them into the credit system to enhance decision-making:
- • Develop Models: Create predictive models to assess the likelihood of customer defaults or any other credit-related models.
- • Testing and Validation: Perform rigorous testing and validation of models to ensure accuracy and reliability.
- • Implementation: Collaborate with IT and other relevant functions to integrate models into the credit approval system.
- • Documentation: Maintain detailed documentation of model development processes, assumptions, and methodologies.
2. APPLICATION SCORECARDS
Create and manage application scorecards to evaluate the creditworthiness of applicants. This includes designing, integrating, and regularly updating scorecards to ensure accurate and consistent credit decisions:
• Scorecard Design: Design and develop application scorecards to evaluate applicant creditworthiness.
• Integration: Ensure scorecards are seamlessly integrated into the credit application process.
• Calibration: Regularly review and calibrate scorecards to reflect current credit risk trends and data.
• Performance Monitoring: Continuously monitor scorecard performance and make necessary adjustments.
3. DATA ANALYSIS AND MANAGEMENT
Ensure the collection, cleaning, and management of high-quality data to support model development and performance. This involves advanced analytics techniques to improve model inputs and outcomes:
• Data Collection: Ensure comprehensive and accurate data collection from various sources, in collaboration with other functions such as the Digital Data and Customer Transformation Department.
• Data Storage: Manage data storage solutions to ensure data security and accessibility, in collaboration with other functions such as the Digital Data and Customer Transformation Department.
Ensure the collection, cleaning, and management of high-quality data to support model development and performance. This involves advanced analytics techniques to improve model inputs and outcomes:
• Data Collection: Ensure comprehensive and accurate data collection from various sources, in collaboration with other functions such as the Digital Data and Customer Transformation Department.
• Data Storage: Manage data storage solutions to ensure data security and accessibility, in collaboration with other functions such as the Digital Data and Customer Transformation Department.
4. CREDIT PROCESS MANAGEMENT AND IMPROVEMENT
Manage the end-to-end credit approval processes and identify and implement improvements in the credit approval process to increase efficiency and accuracy. This includes automating manual processes and adopting industry best practices:
• Workflow Optimisation: Identify inefficiencies in the credit approval process and implement improvements.
• Automation: Manage all current automated credit processes and work towards automating any other relevant manual processes to increase efficiency and reduce errors.
• Best Practices: Implement industry best practices and standards in credit modelling and approval processes.
5. PROJECT MANAGEMENT
Assist Senior Management to manage projects related to model development and implementation, acquisition of credit related systems or any other projects, ensuring timely delivery and resource allocation:
• Project Planning: Assist Senior Management to develop project plans with clear timelines, milestones, and deliverables.
• Resource Allocation: Assist Senior Management to ensure appropriate allocation of resources for implementation projects.
• Risk Management: Assist Senior Management to identify and mitigate project risks to ensure timely and successful completion.
Assist Senior Management to manage projects related to model development and implementation, acquisition of credit related systems or any other projects, ensuring timely delivery and resource allocation:
• Project Planning: Assist Senior Management to develop project plans with clear timelines, milestones, and deliverables.
• Resource Allocation: Assist Senior Management to ensure appropriate allocation of resources for implementation projects.
• Risk Management: Assist Senior Management to identify and mitigate project risks to ensure timely and successful completion.
6. PERFORMANCE METRICS AND REPORTING
Define and track key performance indicators (KPIs) for credit models, scorecards, and approval processes:
• KPI Development: Define and track key performance indicators (KPIs) for credit models, application scorecards, and approval processes.
• Performance Analysis: Analyse performance data to identify trends and areas for improvement.
• Regular Reporting: Generate regular reports for key stakeholders, highlighting key metrics and insights.
Define and track key performance indicators (KPIs) for credit models, scorecards, and approval processes:
• KPI Development: Define and track key performance indicators (KPIs) for credit models, application scorecards, and approval processes.
• Performance Analysis: Analyse performance data to identify trends and areas for improvement.
• Regular Reporting: Generate regular reports for key stakeholders, highlighting key metrics and insights.
7. REGULATORY COMPLIANCE
Ensure all credit models and processes comply with relevant regulations and industry standards. Stay updated with regulatory changes and prepare for audits to maintain compliance.
• Regulatory Updates: Stay informed about changes in regulatory requirements and industry standards.
• Compliance Checks: Ensure all models and processes comply with relevant regulations.
• Audit Preparation: Prepare for and manage internal and external audits related to credit models.
Ensure all credit models and processes comply with relevant regulations and industry standards. Stay updated with regulatory changes and prepare for audits to maintain compliance.
• Regulatory Updates: Stay informed about changes in regulatory requirements and industry standards.
• Compliance Checks: Ensure all models and processes comply with relevant regulations.
• Audit Preparation: Prepare for and manage internal and external audits related to credit models.
8. INNOVATION AND CONTINUOUS IMPROVEMENT
Stay updated with the latest industry trends, technologies, and methodologies in credit modelling and continuously seek ways to improve model accuracy, efficiency, and effectiveness through innovative approaches and technologies.
Stay updated with the latest industry trends, technologies, and methodologies in credit modelling and continuously seek ways to improve model accuracy, efficiency, and effectiveness through innovative approaches and technologies.
9. CORE COMPETENCIES:
• Technical Expertise in Credit Modelling
• Strong analytical and technical skills
• Commitment to excellence and perseverance
• Proactive and energetic approach to problem-solving
• Positive attitude towards innovation and change
• Effective time management and organisation
• Team player with strong communication skills
• Ability to handle confidential information with integrity
Minimum requirements
EXPERIENCE/KNOWLEDGE & SKILLS
• Minimum 5 years of analytics and modelling experience, preferably within credit space.
• Experience in Python, SAS, SQL, Power Bi.
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Risk Management, or Data Science
• Advanced degree (Honors or Masters) in relevant field preferred
• Professional certifications such as CFA, FRM, or equivalent quantitative post-graduate qualifications
(or in the process to obtain) are advantageous.