Head of Decision Management Sg

2 weeks ago

Singapore CIMB Group Full time

Job Responsibilities
- The role will lead the Decision Management team working closely with business partners and external parties to focus efforts to identify business growth opportunities and drive corresponding solutions to capitalize on the opportunities.
- Leverage on analytics and data science to drive optimal decision-making across customer segmentation groupings, products lines and credit lifecycles.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Drive the use of decision rules, event-based triggers, statistical models, machine learning and AI techniques for automation of wide range of business decisions and operations for optimized ROI and revenue per business decision.
- Ensure the development of testing frameworks to assess model quality and accuracy
- Deliver consumer insights to business units like products, marketing, customer relationship management and credit operations.
- Responsible to partner with product teams to create new and enhance customer segmentation strategies, event-trigger strategies, channel engagement strategies aimed at acquiring, deepening or retaining customer relationships.
- Make full use of and expand usage of internal / external data and proprietary / open source analytics tools. Champion or participate projects that acquires, host, process and deploy data flows and models with clear business objectives. Foster and enable a data-driven decision making culture.
- Supervise the team to manage end-to-end campaign data execution, customer segmentation, CRM, Credit Bureau and MIS solution for the Consumer Banking business and ensuring compliant to data management standards and regulations, and accuracy and timeliness in data request deliverables.
- Lead to perform business simulations and what-if analysis based on business inputs and market climates
- Coordinate key initiatives and manage business relationships with key business partners like Risk Management, Finance, IT, Regional counterparties, Credit Bureau and vendors. Provide guidance to team members as needed on analytic approaches, processes, tools and problem solving.

**Requirements**:

- Minimum10 years of relevant experience in customer data analytics and decision science domain.
- Strong analytical skills and good knowledge of the banking industry, especially in consumer business area.
- Past leadership or coaching experience to analytics team(s).
- Experienced in scoring, propensity modelling, machine learning and optimization techniques with proven results.
- Working knowledge of SAS, Python, MS SQL, R and data visualization tools.

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