AVP, Finance - Predictive Analytics & Modelling MY

CIMB Bank Berhad; Kuala Lumpur; On-site; MYR 300,000 - 600,000; Full time

Job summary

CIMB Bank Berhad in Kuala Lumpur seeks a senior professional to lead predictive modelling, analytics, and decision management for credit risk across portfolios. You will translate strategies into actionable plans and drive analytics implementation, ensuring robust, compliant model outputs aligned with IFRS 9 and regulatory standards.

The role requires 8–12 years in credit risk modelling, hands-on SAS/Python/SQL, and a track record of end-to-end model lifecycle, stakeholder engagement, and people

Qualifications

• 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.

Responsibilities

• Translate modelling and decision management strategies into practical implementation plans and drive execution of analytics and decisioning use cases within assigned portfolios.
• 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.
• Manage configuration and enhancement of decision engine rules, scorecards, and segmentation logic.
• Generate insights to support credit strategies, portfolio optimisation, and financial performance.
• Ensure models and decision tools comply with internal policies and regulatory requirements (e.g., IFRS 9).
• Partner with Risk, Finance, Business, Tech, and Data teams to deliver solutions.
• Manage and coach a team of analysts/modellers.
• Review deliverables to ensure quality, accuracy, and compliance.

Skills

SAS

Python

SQL

End-to-end model lifecycle

Stakeholder engagement

Education

Bachelor's Degree in Actuarial/Statistics/Finance

Job description

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

Translate modelling and decision management strategies into practical implementation plans and drive execution of analytics and decisioning use cases within assigned portfolios

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

Manage configuration and enhancement of decision engine rules, scorecards, and segmentation logic

Generate insights to support credit strategies, portfolio optimisation, and financial performance

Ensure models and decision tools comply with internal policies and regulatory requirements (e.g., IFRS 9)

Partner with Risk, Finance, Business, Tech, and Data teams to deliver solutions

Manage and coach a team of analysts/modellers

Review deliverables to ensure quality, accuracy, and compliance

About you

Bachelor's Degree in Actuarial/Statistics/Finance or any relevant qualifications

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

Technical skills in accounting standards (IFRS/MFRS/GAAP), credit risk modelling, banking products and operations, financial and statistical modelling, and financial data analysis

Non-technical skills in strategic planning, leadership capabilities, collaboration, prioritization, communication, change management, and conflict management

Banking & Credit More than 10,000 employees

CIMB is one of ASEAN’s leading banking groups and Malaysia’s second largest financial services provider, by assets. Listed on Bursa Malaysia via CIMB Group Holdings Berhad, it had a market capitalisation of approximately RM81.6 billion as at 31 March 2026. It offers consumer banking, commercial banking, wholesale banking, transaction banking, Islamic banking and asset management products and services. Headquartered in Kuala Lumpur, the Group is present across ASEAN in Malaysia, Indonesia, Singapore, Thailand, Cambodia, Vietnam and the Philippines. Beyond ASEAN, the Group has market presence in China, Hong Kong and UK.

CIMB is one of ASEAN’s leading banking groups and Malaysia’s second largest financial services provider, by assets. Listed on Bursa Malaysia via CIMB Group Holdings Berhad, it had a market capitalisation of approximately RM81.6 billion as at 31 March 2026. It offers consumer banking, commercial banking, wholesale banking, transaction banking, Islamic banking and asset management products and services. Headquartered in Kuala Lumpur, the Group is present across ASEAN in Malaysia, Indonesia, Singapore, Thailand, Cambodia, Vietnam and the Philippines. Beyond ASEAN, the Group has market presence in China, Hong Kong and UK.