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This internship suits a university student or recent graduate studying data science, computer science, business analytics, statistics, engineering, or a related discipline. Candidates should have strong analytical and problem-solving abilities, familiarity with Python, SQL, data visualization, or machine-learning tools, and an interest in generative AI and banking applications. Responsibilities may include preparing and analysing data, developing dashboards or analytical models, researching GenAI use cases, supporting automation projects, and presenting insights to business or technology teams. UOB will expect curiosity, attention to detail, clear communication, teamwork, responsible handling of confidential information, and a willingness to learn in a regulated financial-services environment. The full-time January-to-December placement may require students to meet the university and internship eligibility requirements.
United Overseas Bank (UOB) is a major Singapore-headquartered banking group with operations across Southeast Asia and selected markets in Asia-Pacific. Founded in 1935, it provides personal and business banking, commercial and corporate banking, wealth management, investment banking, payments, and treasury services. UOB serves individuals, small and medium-sized enterprises, large corporations, and institutional clients through branches, relationship teams, and digital platforms. The bank has been investing in technology, data, cybersecurity, and artificial intelligence to improve customer experiences and strengthen operational efficiency. Its regional network provides employees with exposure to diverse markets and cross-border banking activities. As a large regulated institution, UOB places emphasis on integrity, risk management, customer protection, collaboration, and professional development. Internship opportunities can offer practical experience at the intersection of finance, technology, analytics, and innovation.
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