Job Description

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 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 Deliver data work for driving incremental value for the wealth management franchise - accountable for financial outcomes. Identify, build, and deliver use cases based on the customer lifecycle management to drive business value. Drive continuous improvement through test and learn and experimentation to increase effectiveness of data driven engagement with our customers. Drive adoption of a data-driven operating model and control tower (dashboards) 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 translating business problems into data requirements, data discovery, and data processing to deliver outcomes. Requirements (1) Non-Technical Excellent in storyboarding, strategical thinking, and presentation. Strong analytical skills, highly numerate, and proactive Good interpersonal and communication skill, stakeholder engagement. With at least 3 years of relevant working experience, preferably with data management and analytics in the banking industry. Ph.d/Master Degree in Banking/Finance, Business, Mathematics/Statistics, Computer or related disciplines. Prior experience or exposure to private bank or wealth management domain. (2) Technical 4-8 years' experience in financial institution or top tier consulting. Experience in delivering cross-functional data projects to solve business problem and drive business outcomes. 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 optimization. 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). Self-starter, good communication, and presentation skill. 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.