Credit Analytics and Modeling Manager

Description

• Develop and implement sophisticated credit models aimed at enhancing credit scoring, application scoring, and overall credit risk management and process optimisation

Duties

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

Requisites

• 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
• 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

Notes

• Only shortlisted applicants will be contacted