AmBank Group is the sixth largest banking group in Malaysia and comprises AMMB Holdings Berhad and its subsidiaries AmInvestment Group Berhad, AmBank (M) Berhad, and AmAssurance Berhad. The Group provides a wide range of investment banking, commercial banking, retail financing and related financial services, which also include Islamic banking, underwriting of general and life insurance, stock, share and futures broking, investment advisory as well as asset, property and unit trust management. AmBank Group’s core philosophy incorporates a deep-seated commitment to the satisfaction of its wide range of customers, with numerous customer-driven initiatives woven into all forms of communication and interaction with all customer groups. The Group is committed to providing new and innovative products and services to its customers with its partnership with Australia and New Zealand Banking Group (ANZ), one of Australia’s leading banks.

As we continue to grow, we are seeking highly driven and dedicated individuals to explore a world of opportunities with us.

Position: Manager, Risk Model Analytics
Work Location: Kuala Lumpur

Responsibilities:

• Responsible for driving transformational and changing retail credit management within business constraints, ensure enhancements to meet the customer experience
• Development and effective implementation of highly sophisticated, yet practical, credit risk methodologies, models and systems that support the delivery of industry leading performance
• Drive consistency in underlying methodology across products, ensure existing best practice able to transfer to other areas quickly
• Ensure that credit models and methodologies take account of the economic outlook and the emerging impacts

Requirements:

• A recognised degree in Computer Science, Engineering, Statistics, Mathematics or equivalent
• Exceptional analytical and statistical knowledge with strong grounding in, and experience of the application of concepts including; credit scoring, portfolio management, Basel II and statistical analysis
• Experience of credit scoring and statistical modeling and an in-depth knowledge of tools such as SAS, R and SQL
• Strong strategic awareness and proven communication skills to simplify complex issues to ensure appropriate business support for new ideas
• A learning mindset with experience of bringing ideas, learning or concepts from elsewhere, combining them into practical and effective solutions to address business issues, and driving them to implementation to deliver business benefit

Interested candidates are invited to apply as online by clicking "Apply Online" link below.

Closing Date: 25 February 2012

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