Manager, Data Analytics, Group Wholesale Banking
United Overseas Bank Open At a glance
Manager-level Data Analysis & BI role at United Overseas Bank. Central Region · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Gather, clean and combine structured and unstructured data, then analyze it to answer business questions and build useful datasets
- Contribute to analytics projects aimed at better business outcomes, especially in anti-financial-crime and anti-money-laundering work
- Help build, test and monitor analytical and machine-learning models with guidance from senior colleagues
- Turn findings into dashboards, analysis and concise presentations, then explain them to business and technology teams
What you bring
- You hold a bachelor's degree in data science, statistics, computer science or another related discipline
- You have at least two years of relevant experience, or strong internships, academic projects or practical work as a fresh graduate
- You can work with Python and SQL and have a solid grounding in statistics and data analysis
- You are interested in financial services and ready to learn KYC, name screening and transaction monitoring
Who this fits
This manager-level role suits someone who can turn data into useful business findings and collaborate with business and technology stakeholders. The position is based in Singapore's Central Region and is hybrid.
From the employer
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 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.
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