CIMB

Head of Decision Management SG

CIMB
BusinessSingaporeFull-time5 months ago

About the role

AI summarised

Head of Decision Management for Consumer Banking at a bank, responsible for defining data analytics strategy, driving business growth through analytics, and leading a team to deliver insights across customer lifecycle. Requires 10+ years in customer analytics and decision science, with expertise in SAS, Python, R, and machine learning.

BusinessFull-timeGeneral

Key Responsibilities

  • Define the overall CBGS' data analytics strategic and focus areas.
  • Work closely with business functions/products and external parties to identify business growth opportunities and drive corresponding solutions.
  • Analyse and enhance customer segmentation strategies, event-trigger strategies, channel engagement strategies aimed at acquiring, deepening or retaining customer relationships.
  • Support Consumer Banking's business performance through analytics driven decision making process across multiple customer segment/product portfolio.
  • Support key business decision making by delivering relevant and value added strategic and tactical analytics and ensure insights are actioned through campaign/marketing and products.
  • Leverage on analytics and data science to drive optimal decision-making across customer lifecycle, customer segmentation, products lines and credit lifecycles.
  • Collaborate with ITD and IT SA for designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval.
  • Develop data pipelines that move data from source systems to data warehouses, data lakes that enable data extraction and transformation for predictive or prescriptive modeling.
  • Drive the use of decision rules, event-based triggers, statistical models, machine learning and AI techniques for automation of business decisions and operations.
  • Lead to develop custom data models and algorithms to apply to data sets via AI/ML.
  • Deliver consumer insights to business units like products, marketing, customer relationship management and credit operations.
  • Champion projects that acquire, host, process and deploy data flows and models with clear business objectives.

Requirements

  • Degree in Engineering, Finance, Mathematics, Statistics or other quantitative fields.
  • Minimum 10 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.
  • Proficient in SQL, SAS, Python and R Programming.
  • Adept at business problem statement and solutioning with strong domain knowledge in the banking industry.
  • Strong analytical and communication skills.