Head of BB Modeling and Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients.

About Business Banking

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, 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 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

Job Requirements

• >10 years of experience in retail / SME credit risk and/or 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 skills:
• At the minimum, 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

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.