Senior Data Analytics Lead – Wholesale Banking & AML

United Overseas Bank; Singapore; On-site; SGD 85,000 - 120,000; Full time

Job summary

United Overseas Bank (UOB) is seeking an experienced data analytics professional to lead large-scale data projects in the corporate banking space, focusing on anti-financial crime (AFC) and AML initiatives. You will analyze structured and unstructured data, develop insightful datasets, and help drive decisions with robust analytics.

The role requires hands-on Python/R, experience with dashboard tools, and strong collaboration with internal and external stakeholders.

Qualifications

• 5-8 years of data analytics experience in a financial context.
• Hands-on programming with Python/R is required.
• Experience with dashboards (Qlik/Power BI) is a plus.
• Strong problem-solving skills and ability to interact with stakeholders at all levels.
• Knowledge of KYC, name screening and transaction monitoring is preferred.

Responsibilities

• Lead large-scale data projects in the corporate space to drive business impact, especially in AFC/AML space.
• Analyze, integrate and manage voluminous structured and unstructured data to develop insightful datasets.
• Develop and validate machine learning models to generate actionable insights, especially in AFC/AML space.

Skills

Data analytics

Python/R

Dashboard tools

Stakeholder management

Tools

Qlik

Power BI

Job description

United Overseas Bank (UOB) is seeking an experienced data analytics professional to lead large-scale data projects in the corporate banking space, focusing on anti-financial crime (AFC) and AML initiatives. You will analyze structured and unstructured data, develop insightful datasets, and help drive decisions with robust analytics.

The role requires hands-on Python/R, experience with dashboard tools, and strong collaboration with internal and external stakeholders.