VP/AVP, Private Wealth Data Analyst (MarTech Data Science), Consumer Banking Group

Employer
DBS Bank Limited
Location
Singapore, Singapore
Salary
Competitive
Posted
19 Jan 2023
Closes
18 Feb 2023
Ref
18510399
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
About Us

This is Team Awesome. We support DBS Private Bank who aims to be the World's Best Private Bank.

Its purpose is to serve the wealth management needs of ultra-high net worth (HNW) individuals and their families across the globe from Singapore to China to Dubai, and the UK. We pride ourselves on being a globally minded purpose-driven Private Bank that understands their needs for today and tomorrow, offering family office services and advancing the sustainability agenda.

We, the MarTech team, work closely with the business to turn our ambition into reality by 2025. We are transforming ourselves to be one of the best teams in Asia, to create high-quality marketing with impact and talk value. We bring our best selves to work, thriving in a safe environment of learning, discovering, and relearning. We are each other's champions and supporters, performing at the standards we set for ourselves, and having a fulfilling time together. We strive to create a positive and enjoyable culture as well as a family-like environment for our team.

What you will do
  • Know our clients well . Uncover client insights using Machine Learning and research to enhance client journeys, spark client conversations, and identify acquisition opportunities.
  • Embrace data . Tap into teammates and the rich technology systems DBS has invested in to understand clients. Shaping and delivering exceptional client experiences to drive engagement, retention, and revenue growth .
  • Ask why not . We are boosting our current wealth management business from our current level to the best in the world. This is going to involve creativity, problem-solving, and finding ways to get things done together .
  • Drive performance . Use Machine Learning and AI to create recommendation solutions that optimise experiences throughout the client journey.
  • Test, Learn, and Repeat Help design measurement frameworks and optimisation strategies to create better client experience and improve marketing performance.
  • Work on an international stage Cross-border (HK, CN, Taiwan, SEA, London, and Dubai) and cross-functional collaboration with key stakeholders across wealth planning, CIO, investment products, business management, data, design, etc. to enable smooth execution of strategic initiatives.
  • Know the market . Work with research partners, internal stakeholders, and industry experts to understand as well as identify wealth and HNW industry and trends; make appropriate recommendations proactively
About you
  • Experience . Seasoned professional with minimum of 4-8 years developing advanced analytics solutions in the banking/wealth or HNW space. Python programming experience is a plus.
  • Credentialed. Ph.D. /Master's Degree in Banking/Finance, Business, Mathematics/Statistics, Computer or related disciplines.
  • Self-starter . Effective self-starter who flourishes in a fast-paced, results-driven environment.
  • Collaborative . Adaptable and respectful of different work cultures across regional markets.
  • Mentally agile . Ability to connect the dots between strategy and execution with strong analytical skills and data-driven thinking.
  • Creative enabler . Ability to use data storytelling to open minds and suggest inventive solutions
  • And more ......
    • Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured, and unstructured data
    • Excellent software skills (Python, SQL, bash) and knowledge in design patterns and code optimisation
    • Good grasp of Machine Learning models and concepts, their mathematical underpinnings, and trade-offs (model selection, tuning, problem formulation, drift, semi-supervised learning)
    • Experience using NLP techniques (NER, Sentiment Analysis, Topic Modelling, transformers)
    • Experience using Machine Learning frameworks (TensorFlow, Pytorch, Spark, Hydra)
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.