
Risk Management Leader
3 days ago
Leadership Opportunity: Wholesale Risk Model Development
The role involves leading the development of wholesale risk models and collaborating with senior management to implement risk governance and best practices.
Key Responsibilities:
- Establish a Centre of Excellence for Wholesale Rating Models, driving innovation and excellence in model development and validation.
- Provide thought leadership in model development and contribute to best practices, staying updated on regulatory and industry developments.
- Independently research and develop innovative solutions, incorporating emerging trends and technologies.
- Engage with stakeholders across the credit lifecycle, preparing presentations and communicating effectively with senior management.
- Review financial spreading logic in newly developed credit lifecycle systems, ensuring governance and audit readiness.
Technical Deliverables:
- Design and implement end-to-end processes for development, validation, and lifecycle management of Wholesale Rating Models.
- Develop and validate Corporate/Wholesale Rating Models, including Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending.
- Explore new approaches for rating model development for low default portfolios, leveraging data analytics and machine learning.
- Master Rating Scale (MRS) calibration, ensuring accurate and reliable ratings.
Team Leadership:
- Build, mentor, and lead a team of modelers and consultants, driving capability building and continuous learning.
Model Monitoring:
- Outline goals for model monitoring, considering accuracy and other relevant metrics based on the model purpose.
- Determine expected performance of respective models on historical data, continuously assessing model performance.
- Implement monitoring tools to assess input data quality and predictions, communicating model performance to relevant stakeholders.
Requirements:
- Strong foundation in Statistics and Mathematics, with hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD).
- Proficiency in programming languages such as R and Python, data analysis and visualization using Excel and PowerPoint.
- Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or a related field.
- 10-15 years of progressive, multi-discipline risk management experience within banking.
- Deep understanding of risk management concepts and methodologies gained through development and practical application.
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