Data Analytics Manager - AML & KYC Insights

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

1011 United Overseas Bank Ltd in Singapore is hiring for a data analytics role focusing on AFC/AML. You will collect, clean and analyze data, build and monitor models, and prepare dashboards for stakeholders.

The position requires Python/SQL proficiency, a statistical mindset, and familiarity with visualization tools such as Power BI or Qlik. Strong teamwork and communication are essential.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data analysis

Statistics

Teamwork

Communication

Education

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

Tools

Power BI

Qlik

Job description

1011 United Overseas Bank Ltd in Singapore is hiring for a data analytics role focusing on AFC/AML. You will collect, clean and analyze data, build and monitor models, and prepare dashboards for stakeholders.

The position requires Python/SQL proficiency, a statistical mindset, and familiarity with visualization tools such as Power BI or Qlik. Strong teamwork and communication are essential.