Senior Fraud Analytics Lead — Data Science & ML

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Ltd in Singapore is seeking an experienced Senior Data Scientist to lead the development of fraud analytics capabilities and to maintain in-house analytical models for financial crime prevention.

The role requires 7–12 years in tech, 3–5 years in data science, and experience with ML tools, NLP, and large-scale analytics projects. You will collaborate with compliance and analytics teams to enhance model governance and regulatory readiness.

Qualifications

• 7–12 years in technology and data analytics
• 3–5 years in data science / analytics
• Experience in fraud / financial crime analytics
• Experience in large-scale analytics projects

Responsibilities

• Develop and maintain fraud analytics models and dashboards
• Collaborate with Compliance Analytics and Data Engineers
• Interpret model outputs for diverse stakeholders

Skills

Python for data science

Big data analytics

Communication skills

Analytical thinking

Education

Bachelor's degree

Tools

Pandas

Keras

TensorFlow

Scikit-learn

Job description

United Overseas Bank Ltd in Singapore is seeking an experienced Senior Data Scientist to lead the development of fraud analytics capabilities and to maintain in-house analytical models for financial crime prevention.

The role requires 7–12 years in tech, 3–5 years in data science, and experience with ML tools, NLP, and large-scale analytics projects. You will collaborate with compliance and analytics teams to enhance model governance and regulatory readiness.