Key Responsibilities
- Lead the development and enhancement of scorecard models, including application, behavioral, and collection models, to support loan origination and credit risk assessment processes.
- Oversee ongoing monitoring and validation of scoring models to ensure model stability, accuracy, and strong performance over time.
- Provide strategic recommendations on scoring methodologies and credit decision strategies to improve the quality and profitability of the retail lending portfolio.
- Advise on the integration and utilization of multiple credit risk management tools to support new product launches and pilot programs targeting new customer segments.
- Contribute to the development and maintenance of the company’s Risk Appetite Framework and related reporting activities.
- Supervise the deployment and system integration of credit risk models, ensuring calculation accuracy and consistency in credit approval decisions.
- Collaborate in core business and transformation projects to ensure appropriate processes, data availability, and analytical readiness across the organization.
- Support IFRS 9 expected credit loss provisioning activities, including data management, model adjustments, and implementation of required regulatory changes.
- Lead recruitment, coaching, and performance management activities to ensure the team is fully resourced, motivated, and aligned with business objectives.
- Perform other duties and strategic assignments as delegated by the Risk Management Director and Chief Executive Officer.
Requirements
- Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Finance, Economics, or related fields.
- Minimum 8 years of experience in risk management, including at least 3 years in a managerial role
- Strong experience in scorecard modeling, strategy development, and implementation
- Hands-on experience in statistical model development and model application within banking or financial services
- Good understanding of banking and financial risk policies and operational procedures
- Knowledge of IFRS 9 and credit loss provisioning methodologies
- Solid expertise in credit risk and enterprise risk management practices
Technical Skills
- Strong statistical analysis and predictive modeling capabilities
- Proficient in R, Python, SAS, or other statistical programming tools
- Advanced Oracle SQL skills
- Strong organizational, communication, and coaching abilities
- Leadership mindset with strong problem-solving skills
- Fluent English communication skills
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: linh.pham@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
