SVP, Modeling and Analytics, Group Business Banking
2 months ago
SVP, Modeling and Analytics, Group Business Banking
Posting Date: 11-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 develop integrated products and services targeted at helping small and medium-sized enterprises across the region progress through different stages of growth. These include innovative solutions and initiatives in areas of working capital loans, operational efficiency and currency exposure.
Job Responsibilities
Monetize data + analytics in support of sales, marketing, product and portfolio managers in the following areas: Prospecting and improving new customer acquisition – segmentation, market/wallet sizing, product proposition, pricing, leads generation + scoring, 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 Candidate is expected to build predictive models/analytics using: a suite of statistical / data science techniques (regression, gradient boosted trees, network analytics, neural networks, NLP, audio/image processing, etc) that is best fit for purpose / use both structured and unstructured data (test, audio, image, streams, etc) that can be found within the bank and external partners, vendors or in the internet in general (social media, web-crawled data, etc) 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 Manage regular marketing campaign operations, including regular reviews and feedback to improve conversion rate / campaign / model effectiveness Develop new and manage existing dashboards / MIS to sales, product and portfolio managers, including ad-hoc analyses and deep-dives
Job Requirements
> 10 years of experience in retail / SME marketing analytics roles within a bank, fintech, or consulting environment. Undergraduate degree in a quantitative programme, such as Decision Science, Statistics, etc. MBA / post graduate degree is desirable Very strong data/decision science, programming and technology skill Very proficient in SAS for data management and modeling Advantageous to have proficiency in Python or R for data science and Hadoop ecosystem for data management – UOB uses Cloudera Apache Hadoop big data platform Adobe Marketing platform (Adobe Analytics, Campaign, etc) for online and offline marketing campaign management and insights Analytical mind with sound business insight, excellent communicator (verbal and written), highly meticulous, and self-motivated Maturity that will enable the candidate to be a credible counterpart to business managers and senior management, and the ability to develop on-going ‘trusted advisor’ relationships based on the ability to understand, analyse, discuss and address key business challenges raised-
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