First Vice President, Data Analytics at United Overseas Bank Limited Co

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, NLP, Python, SAS, R, Hadoop, Spark, Problem Solving, Financial Industry Knowledge, Consulting Experience, Communication Skills, Interpersonal Skills, Teamwork, Responsibility

Industry

Banking

Description

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. 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. Job Responsibilities Lead large scale analytic projects in corporate space to drive for business impact with a focus on AFC/AML Analyze macro and micro data (structured/less structured) to answer business questions via strategic analysis, machine learning/NLP models. Coordinate with various internal and external business stakeholders to ensure smooth data-to-insights conversion and the necessary of the insights implementation Job Requirements At least 7-10 years' solid data analytics/science experience, deep technical expertise on ML/NLP/OR, with hands-on capability, Python/SAS/R, Hadoop/Spark Excellent problem solver, good understand of financial industry knowledge, consulting experience is a plus Strong sense of responsibility and teamwork Good communication and interpersonal skills to effectively interact with internal and external stakeholders of all levels Additional Requirements Be a Part of the 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 Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site

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Responsibilities

Lead large scale analytic projects in the corporate space to drive business impact with a focus on AFC/AML. Analyze macro and micro data to answer business questions via strategic analysis and machine learning models.