Executive Leader

Lead Wholesale Risk Model Development Team

Job Description:

• Establish a Centre of Excellence (CoE) for Wholesale Rating Models from the ground up, focusing on strategic leadership and innovation.
• Contribute to the development of best practices in model development and validation, ensuring regulatory compliance.
• Stay up-to-date with industry updates, including Basel guidelines, IFRS 9, local regulations, and rating agency methodologies, and apply this knowledge to model design considerations.
• Independently research and develop innovative solutions to complex risk management challenges.

Stakeholder Management:

• Effectively communicate with Senior Management and Board-level committees through presentations and clear communication.
• Engage with multiple stakeholders across the credit lifecycle, including Limit Management, Collateral Management, RAROC, and Customer Rating.
• Review financial spreading logic in newly developed credit lifecycle systems.
• Support governance and audit readiness through proper model documentation and transparent development practices.

Technical & Delivery Responsibilities:

• Design and implement end-to-end processes for developing, validating, and managing Wholesale Rating Models.
• Develop and validate a range of models, including Corporate/Wholesale Rating Models for Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending.
• Explore new approaches for rating model development for low default portfolios.
• Master Rating Scale (MRS) calibration.

People Management:

• Build, mentor, and lead a team of modelers and consultants.
• Drive capability building and continuous learning within the team through training, peer reviews, and knowledge sharing.

Wholesale Model Monitoring:

• Define the goals of model monitoring, considering accuracy and other relevant metrics based on the model purpose.
• Determine the expected performance of respective models on historical data.
• Implement monitoring tools to continuously assess model performance, including input data quality and predictions.
• Communicate model performance to relevant stakeholders to ensure prompt attention to potential problems.
• Regularly review and improve the model performance process based on feedback, changes in underlying data, and evolving business requirements.

Climate Risk Analytics:

• Develop statistical climate risk models that integrate economic and social data to understand how climate risks may impact.
• Develop different climate scenarios based on various emission pathways and climate change projections, assessing the potential impact on identified financial risks.
• Based on statistical models, develop adaptation strategies to mitigate relevant risks.
• Establish a system for continuous monitoring of climate data and updating climate risk models regularly.
• Incorporate existing and potential future policies and regulations related to climate change into model development.
• Involve stakeholders in the meeting process to ensure comprehensive understanding of local conditions, priorities, and concerns.

Required Skills & Qualifications:

• Strong foundation in Statistics and Mathematics, with hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD), and a deep understanding of model lifecycle best practices.
• Strong programming languages such as R and Python, proficient in data analysis and visualization using Excel and PowerPoint, with an advantage if familiar with SAS, SQL, visualization tools, or workflow automation tools.
• Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or a related field.
• Passionate about risk management and advancing the science of credit risk modeling, with excellent communication skills, both written and spoken, in English, and the ability to convey complex technical concepts clearly to both technical and non-technical stakeholders.
• Undergraduate degree in Finance, Risk, Economics, Engineering, or other related fields.
• 10-15 years of progressive, multi-discipline risk management experience within the banking sector.
• Deep understanding of risk management concepts and methodologies gained through development and practical application of risk policy/frameworks.
• Demonstrated capability to apply risk management concepts, analysis, and support to strategic decision-making processes.
• Demonstrable people and managerial leadership experience in a matrixed and multi-jurisdictional organization.
• Outstanding interpersonal and influencing skills, possessing personal credibility and the ability to influence stakeholders at all levels, particularly senior colleagues.

Benefits:

Join us and be part of our talented team.

Learn more about our company culture.