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Functional (job responsibilities)ECL Model Management & Reporting:
Prepare and finalize Expected Credit Loss (ECL) model results, including Probability of Default (PD) and Loss Given Default (LGD), on a quarterly and monthly basis, ensuring 0% error rates and timely submission.
Perform comprehensive trend analysis on PD and LGD results.
Prepare the quarterly model monitoring deck (KS GINI, PSI, MAD, R2, MAPE....) for senior management with high accuracy.
Compliance & Model Maintenance:
Ensure strict compliance with MFRS 9 policy at all times and stay updated on the latest changes to model instruments and regulations.
Monitor and update all MFRS 9 models (PD, LGD, Curerate, Kfactor) to ensure they are prepared for monthly closing cycles.
Model Enhancement & Implementation:
Perform model enhancement and recalibration from time to time to ensure models remain predictive, robust, and compliant.
Focus on continuous improvement to eliminate human intervention in the model process and remove outliers.
Prepare documentation for management approval on model enhancements and recalibration exercises.
Ensure all necessary SOP and Policy updates are completed and documented following any model changes.
MFRS 9 ECL and Model automation projects.
Define business and technical requirements from MFRS9 model and share to vendors for development.
Manage the automation project to reduce manual intervention and improve efficiency.
Execute comprehensive UAT testing by sharing the logic flow and performing variance analysis to ensure successful system implementation and go-live.
Monitor the ongoing performance and accuracy of the automated model solution.
Stakeholder Collaboration:
Coordinate with various departments, including Collections, to gather data (e.g., recovery and cost for impaired accounts).
Engage with Group Risk Management to ensure effective implementation of MFRS 9 models.
Liaise with external auditors and Group Risk for model audits and recommendations.
General Support:
Provide support on ad-hoc requests from the Head of Department as needed.
Jobholder Requirements
Education/QualificationEducation: Bachelor's or Master's degree in Applied Math, Actuarial Science, Applied Statistics, Statistics, or a related field.
Experience: Proven experience in credit risk modelling, specifically with MFRS 9 / IFRS 9 ECL methodologies (PD, LGD, EAD).
Technical Skills: Strong proficiency in relevant statistical/programming languages (e.g., R, SAS, SQL) and advanced skills in Microsoft Excel.
Regulatory Knowledge: In-depth understanding of MFRS 9 / IFRS 9 regulatory requirements and best practices.
Analytical Skills: Excellent analytical, problem-solving, and critical-thinking skills with a keen focus on data accuracy and integrity.
Communication: Strong interpersonal and communication skills to effectively coordinate with internal stakeholders, external auditors, and external vendors.
Detail-Oriented: A track record of producing work with high accuracy and meeting strict deadlines.
About Hong Leong Bank
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