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Business Function As the leading bank in Asia, DBS Consumer Banking Group (CBG) 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.
About this role
The SG Intelligent Banking team was set up in 2019 and is part of Consumer Banking Group based in Singapore. Our primary objective is to enable DBS to thrive in the digital economy by leveraging on emerging and smart technologies so we can connect horizontal journeys across our customers, ecosystem partners and omni-channel platforms. The SG Intelligent Banking unit partners with the CBG business units and product owners to drive innovative customer centric solutioning end-to-end.
The next progressive phase is to embed customer centric solutioning with Data Science using advanced machine learning methods, recommendation engines, text mining solutions and customer models to amplify both the business and engagement impact. We are therefore looking to expand our teams to include Data Science specialist with ML/NLP skillsets who can work with the product owners and business analytics teams to develop and productionize ML based solutions for CBG customers.
Identify areas of opportunities to apply and implement AI technologies and solutioning in CBG. Solid track record of deploying machine learning or data science solution into production environment and integrating into the business. Partner with business, data analytics and IT stakeholders on architecture, test and solution design to ensure production and deployment is fully considered. Highly self-driven and can operate under "Agile" methodology, and able to perform end-to-end development from requirements gathering, to design, development, testing then deployment. Oversee the process of data exploration & preparation, the conduct of experiments, review of model performance, and presentation of results to business stakeholders for their feedback. Create reusable assets and share learning with others
PhD or Masters or equivalent degree in Statistics, Computer Science, Applied Mathematics, or equivalent quantitative fields preferred. At least 4-5 years of relevant experience in industry (eg. fintech, financial industry or ecommerce) of data mining and machine learning on large amount of data, building and implementing various statistical models Proficiency & Possess skills & experiences in following areas- Spark, Python or R, MS Tools, SQL, BI Tools, database design, data warehousing MS PowerView, Hadoop, R, MS Access Strong theoretical understanding and practical knowledge and be able to apply the appropriate solution framework for different modelling tasks that forms the analytic solutions
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.