Manager, Data Analytics, Group Wholesale Banking

UOB; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

United Overseas Bank Ltd is seeking a Manager, Data Analytics in our Group Wholesale Banking to drive data-led insights across AFC/AML domains. Hybrid work arrangement in Central Region.

You will collect, clean, integrate and analyze structured and unstructured data, develop and monitor analytic models, and prepare dashboards for stakeholders while collaborating with technology teams. Candidates should hold a data-related degree and 2+ years of relevant experience; leadership and communication

Qualifications

• Bachelor's degree in data science, statistics, computer science, engineering, economics, finance or related discipline.
• Proficiency in Python and SQL with solid data analysis skills.
• Exposure to data visualization tools (Power BI, Qlik) is preferred.
• Interest in AFC/AML domains and willingness to learn KYC processes.

Responsibilities

• Support data analytics projects that drive business outcomes in AFC/AML domain.
• Collect, clean, integrate and analyze structured and unstructured data to produce useful datasets.
• Develop, test and monitor analytics models under senior guidance.
• Prepare dashboards and concise presentations for stakeholders and communicate findings.

Skills

Python

SQL

Data analysis

Statistics

Teamwork

Education

Bachelor's degree in data science, statistics, computer science, engineering, economics, finance or related discipline

Tools

Power BI

Qlik

Job description

## Manager, Data Analytics, Group Wholesale BankingApply: Hybrid: Central Region (City Area): Full time: Posted Today: JR96128Company: 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 Description*** Support data analytics projects that improve business outcomes, particularly in the AFC/AML domain.* Collect, clean, integrate and analyze structured and unstructured data to answer business questions and produce useful datasets.* Assist in developing, testing and monitoring analytical or machine-learning models under the guidance of senior team members.* Prepare dashboards, analysis and concise presentations, and work with business and technology stakeholders to communicate findings.**Job Requirements*** Bachelor's degree in data science, statistics, computer science, engineering, economics, finance or a related discipline.* At least 2 years of relevant experience; fresh graduates with strong internships, academic projects or practical portfolios are welcome for junior role* Working knowledge of Python and SQL, with a sound foundation in data analysis and statistics.* Exposure to Power BI, Qlik or another visualization tool is an advantage.* Interest in financial services and willingness to learn KYC, name screening and transaction monitoring processes.* Curious, detail-oriented and responsible, with good problem-solving, teamwork and communication skills.## **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.