Senior Leadership Role in Wholesale Risk Model Development
The role of this position involves leading the wholesale risk model development team and assisting the Head of Risk Analytics and Capital Management in executing risk governance and practices around quantitative models.
Key Objectives
- Establish a new Centre of Excellence for Wholesale Rating Models from scratch
- Provide thought leadership and contribute to best practices in model development and validation
- Stay up-to-date with the latest regulatory and industry updates and translate them into model design considerations
- Independently research and develop innovative solutions
Stakeholder Interaction
Prepare presentations and communicate effectively with Senior Management and Board-level committeesEngage with multiple stakeholders across the credit lifecycle : Limit Management, Collateral Management, RAROC, Customer RatingReview financial spreading logic in newly developed credit lifecycle systemSupport governance and audit readiness through proper model documentation and transparent development practicesTechnical Responsibilities
Design and implement an end-to-end process for development, validation, and lifecycle management of Wholesale Rating ModelsDevelop and validate various models including Corporate / Wholesale Rating Models, Master Rating Scale calibration, and low default portfolios rating model developmentTeam Leadership and Capability Building
Build, mentor, and lead a team of modelers and consultantsDrive capability building and continuous learning within the team through training, peer reviews, and knowledge sharingModel Performance Monitoring and Climate Risk Analytics
Determine the goals of model monitoring, consider accuracy and other metrics based on model purposeEvaluate the expected performance of respective models on historical dataImplement monitoring tools to assess model performance continuouslyCommunicate model performance to relevant stakeholders to address potential problemsRequired Skills and Qualifications
Mandatory / Essential :
A strong foundation in Statistics and Mathematics, hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD) and deep understanding of model lifecycle best practicesStrong programming languages such as R and Python, proficient in data analysis and visualization using Excel and PowerPointA degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or related fieldPassionate about risk management and advancing credit risk modeling scienceExcellent communication skills with fluency in English10-15 years progressive, multi-discipline risk management experience within banking sectorA deep understanding of risk management concepts and methodologies gained through development and practical applicationThe ability to apply risk management concepts to strategic decision-making processesPeople and managerial leadership experience in matrixed and multi-jurisdictional organizationOutstanding interpersonal and influencing skillsDesirable Qualifications
A postgraduate or professional qualification in risk management or finance such as CFA, FRM, PRMExperience of developing teams in multi-jurisdictional and matrixed organizationAn understanding and experience of BCBS frameworks particularly those relating to risk and capital