Full Time AVP, Finance - Predictive Analytics - Modelling MY Jobs, in CIMB Federal Territory - Maukerja

Job Purpose :

To lead the execution and delivery of predictive modelling, analytics, and decision management capabilities within assigned portfolios or business areas, supporting Group-wide decisioning frameworks. The role ensures robust, compliant, and data-driven model and decision outputs, aligned with regulatory standards (including IFRS 9), while driving continuous improvement, operational efficiency, and adoption of advanced analytics.

Key Responsibilities

The People Manager is responsible for leading the execution and delivery of predictive modelling, analytics, and decision management initiatives within assigned portfolios or business areas.This role focuses on translating strategic direction into actionable solutions, ensuring high-quality model development, robust decision frameworks, and strong governance practices. The incumbent will manage a team of analysts/modellers, drive performance monitoring, and collaborate closely with stakeholders to support data-driven business decisions while ensuring compliance with regulatory standards (e.g., IFRS 9).

1. Strategy Execution & Delivery

• Translate modelling and decision management strategies into practical implementation plans.
• Drive execution of analytics and decisioning use cases within assigned portfolios.
• Identify opportunities to enhance models, decision frameworks, and processes.

2. Model Development & Lifecycle Management

• Lead the development and implementation of credit risk and predictive models (PD, LGD, EAD, behavioural).
• Ensure models are fit-for-purpose, explainable, and compliant with regulatory requirements.
• Oversee model monitoring, backtesting, recalibration, and performance reviews.
• Ensure proper documentation and readiness for model validation and audit.

3. Decision Engine & Rules Management

• Manage configuration and enhancement of decision engine rules, scorecards, and segmentation logic.
• Oversee implementation of cut-offs and automated decision flows.
• Ensure consistency of decision outcomes across products and channels.

4. Analytics & Business Insights

• Generate insights to support credit strategies, portfolio optimisation, and financial performance.
• Identify trends, risks, and opportunities through data analysis.

5. Governance, Compliance & Risk Management

• Ensure models and decision tools comply with internal policies and regulatory requirements (e.g., IFRS 9).
• Support internal audit, regulatory, and validation reviews.
• Identify and escalate risks related to model performance or governance gaps.

6. Stakeholder Management

• Partner with Risk, Finance, Business, Tech, and Data teams to deliver solutions.
• Translate technical outputs into actionable business insights.
• Support discussions and recommendations to stakeholders.

7. Team Leadership & Development

• Manage and coach a team of analysts/modellers.
• Review deliverables to ensure quality, accuracy, and compliance.
• Build team capability in modelling, analytics, and tools.
• Promote a culture of accountability, innovation, and continuous improvement.

Key Dimension of Impact

1. Strategic Impact

• Contributes to execution of portfolio-level modelling and decision strategies.
• Supports operationalisation of risk appetite via models and rules.

2. Financial Impact

• Influences ECL accuracy, portfolio quality, and approval outcomes within assigned scope.
• Supports optimisation of risk-return and operational efficiency.

3. Risk Management Impact

• Ensures models comply with governance standards and support risk monitoring and control.
• Identifies and escalates model risks, limitations, and performance issues.

4. Operational Impact

• Improves model deployment efficiency, turnaround time, and automation.
• Supports consistency in decision execution within portfolio or business unit.

5. Stakeholder / Business Impact

• Enables business units with data-driven insights and decision support.
• Bridges technical modelling outputs with business interpretation.

6. Technology & Transformation Impact

• Supports implementation of analytics tools, automation, and decision engines.
• Contributes to modernization of modelling and analytics workflows.

7. People Impact

• Direct impact on team delivery, capability building, and performance.
• Coaches analysts and drives quality and accountability.

Job Specification

Qualifications

• Bachelor’s Degree in Actuarial/Statistics/Finance or any relevant qualifications.
• Professional Qualification and/or Regulatory, Licensing requirements
• Credible accreditation in the following areas:

1. Analytics & Enterprise tool certifications
2. Cloud platform certifications (most valued)
3. University backed certification in data science
4. Accreditation for AI programmes

Relevant Work Experience

• 8–12 years of experience in:

Credit risk modelling (PD, LGD, EAD, IFRS 9) and

Financial analytics or data science in financial institutions

• Proven experience in:

-End-to-end model lifecycle (development → monitoring → validation support) and

-Stakeholder engagement across Risk, Finance, and Business

• 3–5 years in people or project leadership role (for Manager / AVP / VP track)
• Strong understanding of:

-Regulatory frameworks (IFRS 9, BNM/MAS guidelines) and

-Banking products, portfolio management, and credit risk drivers

• Hands-on experience with:

-Analytical tools (SAS, Python, SQL) and reporting platforms

• Exposure to:

-Decision engines, scorecards, and automation frameworks is an advantage

Required Competencies and Skills

Competencies/Skills

(Essential to succeed in this job)

Technical/Functional skills

• Basic: Accounting Standards, Concepts and Treatments (IFRS/ MFRS/ GAAP) with emphasis in IFRS 9
• Credit Risk modelling.
• Banking Products, Operations and Environment
• Regulatory Reporting Requirements and Guidelines in Different Jurisdictions in the Operating Region
• Financial and Statistical Modelling
• Financial and Data Analytical
• Financial Statements and Annual Reports
• Commercial/ Business Acumen
• Finance Risk Drivers

Non-Technical Skills

• Strategic Planning
• Leadership Capabilities
• Collaboration
• Prioritization
• Communication & board narratives
• Change Management
• Conflicts Management