FVP/VP, Data Analytics, Group Wholesale Banking

UOB; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Ltd invites an experienced FVP/VP, Data Analytics in Group Wholesale Banking to lead large-scale analytic projects and deliver business insights. This onsite role is based in the Central Region, City Area, Singapore.

The ideal candidate has 7+ years in data analytics/science, strong ML/NLP, and hands-on Python/SAS/R with big data tools like Hadoop and Spark. Excellent communication and stakeholder management are required to translate data into strategic actions.

Qualifications

• 7+ years in data analytics/science roles
• Hands-on with ML/NLP, big data technologies
• Experience with financial services or consulting is a plus
• Strong communication and stakeholder management

Responsibilities

• Lead large-scale analytic projects in corporate space to drive business impact with ML/NLP and big data techniques
• Analyze structured and unstructured data to answer business questions and provide actionable insights
• Coordinate with internal and external stakeholders to ensure data-to-insights conversion and successful implementation

Skills

ML/NLP

Python

SAS/R

Hadoop/Spark

Job description

## FVP/VP, Data Analytics, Group Wholesale BankingApply: Onsite: Central Region (City Area): Full time: Posted Today: JR96123Company: 1011 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.**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 and above 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 FamilyUOB 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.