SVP, Team Lead, Private Wealth Data Analyst - Consumer Banking Group (CBG)
- Employer
- DBS Bank Limited
- Location
- Singapore, Singapore
- Salary
- Competitive
- Closing date
- May 21, 2022
View more
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Business Function
DBS' Private Banking offers a one-stop, full-service touch-point for total banking requirements and provides the highest level of personalised banking. We have a team of dedicated, experienced investment advisors who identify opportunities in the various asset classes and employ the best strategies and product vehicles to cater to each client's needs. Coupled with partnerships within the DBS network and with global institutions, we strive to build long-term relationships with our Private Banking clients in Asia by providing them with high quality, timely and extensive wealth management, investment and financial solutions.
Responsibilities
Requirement
DBS' Private Banking offers a one-stop, full-service touch-point for total banking requirements and provides the highest level of personalised banking. We have a team of dedicated, experienced investment advisors who identify opportunities in the various asset classes and employ the best strategies and product vehicles to cater to each client's needs. Coupled with partnerships within the DBS network and with global institutions, we strive to build long-term relationships with our Private Banking clients in Asia by providing them with high quality, timely and extensive wealth management, investment and financial solutions.
Responsibilities
- Team lead role, responsible for driving incremental value for the wealth management franchise through use of data - accountable for financial outcomes.
- Identify and enable delivery of use cases to drive business outcomes .
- Drive continuous improvement through adoption of test and learn and experimentation to increase effectiveness of data driven engagement with our customers. Set metrics, framework and governance to drive continuous improvement.
- Drive adoption of a data driven operating model and control tower build out for key lines of business, to enhance the way we operate the business.
- Work with front office, business managers, product managers and customer management teams to create data solutions, address business challenges and identify untapped opportunities.
- End-to-end data solutioning which includes translate business problems into data requirements, data discovery and data processing to deliver outcome.
Requirement
- Min 8 years' experience in financial institution or top tier consulting.
- Experience working on cross-functional data projects to solve business problem and drive business outcomes.
- Prior experience or exposure to private bank or wealth management domain.
- Proficient in SQL/Python/SAS programming, MS Excel and be comfortable with processing large volume of data.
- E xperience in delivering complex initiatives working with both cross functional stakeholders across business and tech team.
- Self-starter, good communication and presentation skill.
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