VP/AVP, Business Analytics (Cashless, Local/Overseas Payment), Consumer Banking Group

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.
Responsibilities

• Data and insight partner (co-lead) on Cashless and Payments business including Local and Overseas Payments. Work closely with Product and Marketing teams.
• Create and deliver clear and concise presentations to the key stakeholders/senior management; Lead discussions on squad objectives and priorities; Lead discussions on analytics approach and interpretation of results.
• Utilize Data Driven Operation Model (DDOM) to maximize value from data. Identify key trends, provide insights on performance & causality. Identify opportunities and drive experiments to deepen customer engagement.
• Must have strong coding skills and ability to multi-task. Develop and drive automation of Dashboards.
• Participate in migration projects including project management and QC checks as and when necessary

Requirement

• Strong analytical skills, highly numerate and proactive
• Proficient in SAS/Python Programming, Enterprise Guide, macro and SQL
• Strong Project management skills
• Good interpersonal and communication skill in dealing with all levels of staff and stakeholders
• Minimum degree qualification, advanced degree will be preferred
• Demonstrate Critical Thinking and ability to suggest improvements
• With at least 7-8 years of relevant working experience, preferably with data management and analytics in the banking industry
• Degree in Banking/Finance, Business, Mathematics/Statistics, Computer or related disciplines
• Preferred knowledge in Business Intelligence tools and data mining
• Experience to manipulate and handle large dataset

Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.