AVP, Finance: Lead Predictive Modelling & Credit Decisioning

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

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