
Model Development Manager
2 weeks ago
**About Us**
Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.
We are looking for a Model Development Manager to grow our business.
**Responsibilities**
- Develop the credit risk scorecard, IRB, Stress testing, scenario analysis and IFRS9 model solutions for SME portfolios.
- Conduct qualitative and quantitative review of model development process including underlying assumption, theoretical hypothesis, and statistical testing.
- Develop pricing and valuation models based on risk frameworks.
- Work closely with model validators and provide value added advice on the scorecards and PD/EAD/LGD model for IRB models, IFRS9 models and stress testing models for SME portfolio.
- Engage with regulators and auditors to ensure models are compliant with both regulatory requirements and internal model performance standards.
- Implement and monitor model risk management activities in accordance with defined procedures
- Document and communicate development findings and results to senior management.
- Document and provide references for analytical methodologies, algorithms, procedures, and models.
- Maintain model risk management policy and standards to ensure they are consistent with industry best practices.
- Supervise risk data analytics and model usage.
- Provide assurance to regulators, senior management, and Board on the performance of credit risk models used in risk management, capital computation, provisioning, and stress testing.
- Monitor model performance and accuracy.
- Perform ad-hoc portfolio risk analysis and produce the Key risk indicators for model risk.
**Requirement**
- A good degree, preferably in quantitative discipline.
- Familiar with scorecards and credit risk models used for wholesale portfolio.
- Minimum 7 years of credit risk modelling, credit risk analytics or data analytics in banking industry.
- Good understanding of Basel, IFRS9 and MAS requirements.
- Strong written and communication skills.
- Good knowledge on SME credit risk.
- Familiar with SAS, Python or R language.
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