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Senior Associate, Business Analytics - Consumer Banking Group (CBG)

DBS Bank Limited
Mise en ligne il y a 2 jours CDI Competitive
Senior Associate, Business Analytics - Consumer Banking Group (CBG)
Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business - they were made just right for you.


Leading the analytics team in Financial Planning arena to
  • Utilise Data Driven Operating Model (DDOM) to maximise value from data in and deliver shared goals with partners.
  • Control Towers development acceleration with team to provide concise and actionable insights to key partners.
  • Deepening analytics insights, drive rapid experimentations and interpretation of results to enable learnings and quick evolution of business strategies.
  • Drive Cognitive and Automated Banking initiatives through AI/Machine Learning models integrated into existing decisioning process, Customer Journeys and Control Towers
  • Collaboration with business partners to drive model simulation for the sales incentive scheme across Consumer Banking sales platform, review of scheme effectiveness against framework to provide insights and recommendations in improving the business strategies.
  • Strong SQL, Python, SAS, Excel and PowerPoint skills.
  • Minimum 5 years of business analytics working experience and team management experience
  • Proactive self-starter with strong analytical, highly numerate, problem solving, communication (verbal and written) and organizational skills
  • Ability to work independently in a dynamic, fast-paces environment and ability to lead team in managing multiple projects simultaneously
  • Degree in Business Analytics, Mathematics, Statistics, Computing or related disciplines
  • Excellent written and verbal communication skills
Référence  WD39282
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