VP, Data Scientist, Group PFS
3 weeks ago
VP, Data Scientist, Group PFS
Posting Date: 31-May-2023 Location:Singapore (City Area), Singapore, 048624
Company: United Overseas Bank Ltd
About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
About the Department
We design and provide products and services that empower our customers to enjoy greater banking convenience while they extract more value from their money. In particular, we are focused on promoting and developing healthy saving and investment practices across generations.
Job Responsibilities
We design and provide products and services that empower our customers to enjoy greater banking convenience while they extract more value from their money. In particular, we are focused on promoting and developing healthy saving and investment practices across generations.
Develop and implement data science / machine learning techniques to solve business problems, identify new opportunities and improve existing processes Explore, integrate and engineer data from various sources to develop feature stores, predictive models, and other advanced analytical solutions Develop visualizations to communicate model results and insights to business stakeholders Continuously monitor the performance of ML models and make recommendations for improvements Participate in the integration of data science solutions into bank’s enterprise systems and processes
Job Requirements
Degree or advanced degree in data science, mathematics, statistics, computer science, engineering or other quantitative field Minimum of 4 years of experience in data science, business analytics or a related field Experience with data analysis, modeling, optimization and visualization using Python, R, SQL, SAS, Qlik, and/or Power BI Strong programming experience, with solid understanding of software engineering design patterns and big data technologies such as Hadoop, Impala and Hive Exposure to analytical use cases relating to investment and/or insurance products is an advantage. Excellent communication skills, with the ability to work independently and collaboratively with cross-functional teams A drive to learn and master new AI/ML technologies and best practices-
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