AVP / VP, Data Scientist, Data Management Office
2 months ago
AVP / VP, Data Scientist, Data Management Office
Posting Date: 15-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
Business Intelligence specializes in data architecture for reporting services, and design expertise in data warehouses, data marts, and business intelligence (BI) enterprise reporting. Identifies ways to increase the use of BI within the firm, designing end-to-end BI solutions that provide insights and information for key decision-makers. The Data Analytics & Management area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality.
Job Responsibilities
Design analytical solutions/experiments to solve various strategic business problems through engagement and research Building and deploying Machine Learning Algorithms, Advanced Analytics, and Data Visualization across the UOB group and region Supporting the Enterprise Data Architecture and Governance Program in developing and transforming the Analytics Capabilities across the group Partnering with assigned teams and/or business units to provide deep expertise and advisory on advanced data analytics needs Strong knowledge of data and analytics architecture to ensure analytics objectives are aligned to business priorities on the Data Analytics Transformation Program Driving innovation initiatives under guidance and directives from Head of Enterprise AI & Data
Job Requirements
Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. Min 3 years of advanced data science working experience, preferably in banking / financial services / quant / consulting industry. Rank upgrade to VP exists for candidates with significantly stronger capabilities and longer experiences Achieved consistently convincing success in framing quantitatively rigorous and data driven approaches to solve highly complex business problems Self motivated team player, able to ideate innovative solutions and work independently Highly skilled and experienced in at least any two of following: Statistics, Deep Learning, Time Series or Risk. Excellent Python programming and large data handling abilities. Highly skilled with common data science packages and SQL\Spark Experienced in end-to-end data science solution delivery and assorted tools Ability to communicate analytic findings clearly and convincingly to business Skillful in the practice of agile project management Experience with data visualization packages and/or tools a plusWe have other current jobs related to this field that you can find below
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