Head, Risk - Model Ops & Insights at CIMB Group Malaysia

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk Management, Project Delivery, Governance, Model Development, Regulatory Compliance, Stakeholder Management, Model Performance Monitoring, Data Platform, Basel Modeling, Strategic Guidance, Audit Trails, Documentation, Control Measures, SOP Management, Cross-Functional Collaboration, Issue Resolution

Industry

Banking

Description

Job Purpose: The main purpose of the role is to drive successful execution of Risk AI/data and Risk Modelling initiatives, managing stakeholders and ensuring timely delivery, model relevance, strong governance, and regulatory compliance across the region. Key Responsibilities: 1. Project Delivery & Governance Lead and oversee project execution to ensure alignment with agreed schedules, deliverables. Serves as the central coordination point within Group Risk and between external stakeholders whichever applicable. Track and manage project progress which includes end to end model development lifecycle, validation, regulatory submission and implementation. Proactively identify issues and risks, discussing solutions and driving resolution to ensure timely achievement of milestones. Ensure comprehensive project documentation, audit trails, status updates, and approvals are maintained in line with internal standards. Deliver strategic modelling initiatives including, but not limited to: Risk AI project (e.g. Chatbot, Generative Business Intelligence, Risk Early Warning Dashboard etc.) Integrated Model Data Platform (a data platform with single sources of truth for model development, Validation, Monitoring and Portfolio Analytics) Basel Modeling development and submission Manage model related activities across various stakeholders such as model inventory updates, Basel model submission etc., ensuring completeness and compliance with regulatory standards. 2. Model Lifecycle Management & Oversight Lead retail and non-retail model performance monitoring to identify insights and proactively implements control measures as guided by internal standards to address any deterioration in model performance. Engages with relevant stakeholders to initiate on going monitoring for newly implemented models. Drives the streamlining and automation of end-to-end monitoring processes to enhance efficiency and governance. On-going model review and provide strategic guidance to ensure relevance, and alignment with business and regulatory expectations throughout model life cycle. 3. Standards & SOP Management Manage compliance/governance related tasks, ensuring compliance with internal governance and regulatory requirements. Manage the review, enhancement, and maintenance of up-to-date modelling standards, methodologies, and Standard Operating Procedures (SOPs). 4. Stakeholder Management Manage structured stakeholder engagement, delivering comprehensive updates on project/model performance status/result, and risks. Prepare clear regular updates to related committees, presentation and executive-level summaries. Facilitate cross-functional workshops, meetings, and decision forums to support informed decision-making. Escalate material risks, issues with clear impact analysis and remediation recommendations.

Responsibilities

The role involves leading the execution of Risk AI/data and Risk Modelling initiatives while ensuring compliance and governance. It also includes managing stakeholder engagement and overseeing model performance monitoring.