Senior Risk Intelligence Analyst (AI & Data)

UOB; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

United Overseas Bank Ltd in Singapore is seeking a data analytics professional to perform risk analytics and surveillance across AML, anti-fraud, conduct risk and cross-border areas. You will develop AI-driven analytics using LLMs, Python, and SQL to unlock insights and strengthen governance.

The role emphasizes data management, dashboarding, and collaboration with risk, compliance and technology teams. Strong analytical skills and hands-on delivery are essential for timely, accurate outputs.

Qualifications

• Degree in Data Science or related field.
• Experience in financial services is advantageous.
• Experience with LLM, Python, SQL and big data platforms.
• Ability to develop dashboards and recurring reports.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple deliverables.

Responsibilities

• Perform risk analytics and surveillance across AML, Anti-Fraud, Conduct Risk and cross-border areas.
• Develop and maintain analytical solutions using ML, NLP and LLMs.
• Data sourcing, preparation, transformation and validation to support analytics and reporting.
• Create dashboards and recurring reports for business, risk and client trends.
• Support analytics, automation and process improvements.
• Collaborate with analytics, business and technology teams on data, reporting and analytical deliverables.

Skills

LLM

Python

SQL

Data analysis

Data manipulation

Big data platforms

Analytical thinking

Problem solving

Stakeholder communication

Independent delivery

Education

Degree in Data Science

Job description

United Overseas Bank Ltd in Singapore is seeking a data analytics professional to perform risk analytics and surveillance across AML, anti-fraud, conduct risk and cross-border areas. You will develop AI-driven analytics using LLMs, Python, and SQL to unlock insights and strengthen governance.

The role emphasizes data management, dashboarding, and collaboration with risk, compliance and technology teams. Strong analytical skills and hands-on delivery are essential for timely, accurate outputs.