Job Description

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  The role will primarily focus on developing, validating, and monitoring credit risk models for the
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  consumer financing portfolio, including scorecard models.
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   Key Responsibilities:
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   Model Development:
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   Lead the development of credit risk models, including scorecards, for the consumer financing portfolio.
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   Utilize advanced statistical and machine learning techniques to build robust and predictive risk models.
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   Collaborate with business units to understand their requirements and incorporate them into model development.
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   Develop, implement, and optimize scorecard strategies in collaboration with stakeholders to monitor key risk indicators and performance metrics, analyze results, and provide actionable insights to senior management.
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   Model Validation:
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   Conduct comprehensive validation of credit risk models to ensure accuracy, robustness, and compliance with regulatory standards.
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   Perform back-testing and benchmarking to assess model performance and stability.
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   Document validation findings and provide recommendations for model improvements.
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   Risk Assessment &amp; Monitoring:
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   Monitor the performance of credit risk models on an ongoing basis to ensure they remain predictive and aligned with risk appetite.
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   Analyze model outputs and key risk indicators to identify emerging risks and trends in the consumer financing portfolio.
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   Review and provide feedback on proposal papers for the introduction of new statistical methodologies, impacting credit risk
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   Regulatory Compliance:
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   Ensure all credit risk models comply with internal policies and regulatory requirements.
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   Prepare and present model documentation and validation results to the necessary parties.
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   Stay updated on regulatory changes and assess their impact on credit risk modelling practices.
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   Data Management &amp; Analytics
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   Leverage large datasets and advanced analytics to support model development and validation processes.
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   Ensure data quality and integrity in model development and validation activities.
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   Utilize data visualization tools to communicate complex analytical insights effectively.
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   Stakeholder Engagement:
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   Act as a key point of contact for internal stakeholders on matters related to credit risk modelling and validation.
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   Collaborate with IT, data analytics, and business teams to ensure seamless integration of models into decision-making processes.
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   Provide expert advice and guidance on credit risk models to various stakeholders.
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   Carry out any ad-hoc assignments assigned by Head of Credit Risk/ CRO/ Management/ Board from time to time
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   Qualification:
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   A recognized degree in Actuarial Science/ Mathematic/ Statistics/ Finance or in any related field
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   At least 5 years of relevant experience in in credit risk modelling and validation, with a focus on consumer financing portfolios.
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   Proficiency in MS Office is required; experience with SAS and SQL is advantageous.
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   Strong knowledge of statistical and machine learning techniques used in credit risk modelling.
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   Proficiency in programming languages such as SAS, R, Python, or similar tools.
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   Experience with regulatory requirements related to credit risk models (e.g., Basel, MFRS9).
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   Excellent analytical, problem-solving, and quantitative skills.
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   Effective communication and interpersonal skills, with the ability to present complex information clearly.
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   Fluent English in speaking and writing
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