Vice President, Portfolio Management & Models, Marketing Analytics, Group Business Banking
Singapore, SG
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
Data Analytics and Insights 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.
Responsible for analyzing and reporting on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes.
Specializes in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies.
Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes.
Job Responsibilities
· Manage regular marketing campaign & report operations, including regular reviews to improve conversion rate and campaign / model effectiveness
· Deploy data management & analytics capabilities to support stakeholders from portfolio management, product, sales, and marketing across the customer lifecycle:
- Prospecting and improving new customer acquisition – leads prioritization, product proposition, segmentation, market / wallet sizing, etc.
- Growing existing customer franchise and balances – cross-selling, retention, next best offer + conversation, personalized customer engagement (online + offline)
- Improving digital (mobile app and internet banking) adoption and customer interaction via personalized, omni-channel engagement
· Develop actionable predictive models using statistical / data science techniques such as regression, gradient boosted trees, network analytics, neural networks, natural language processing, computer vision, etc
· Work with Data & System team to improve existing data management and processing pipelines
· Work with BB’s ecosystem / partnership team to increase monetization of partner / platform data (eg, e-commerce, payments, ERP solutions, etc), and actively source for new data sources / revenue streams
Job Requirements
· 8-15 years of experience for undergraduate degree, preferably in quantitative program such as Business Analytics, Data Science, Statistics, Computer Science, Sociology, Bioinformatics, etc.
· Experience with retail / SME marketing analytics role within a bank, fintech, or consulting environment is preferred but not required.
· Strong data science, programming, and technology skills:
- Proficient in SQL for data management and manipulation
- Proficient in SAS for data management and modeling
- Advantageous if you’re proficient in Python for data science
- Advantageous if you understand Hadoop ecosystem for data management
- Adobe Marketing platform (Adobe Analytics, Campaign, etc) for online and offline marketing campaign management and reporting
Be a part of UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
Apply now and make a difference.