VP, Techno-Functional Data Lead – Wholesale Banking

UOB; Singapore; On-site; SGD 140,000 - 200,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

United Overseas Bank Ltd seeks a VP System Analyst with deep data-domain expertise across Wholesale Banking, including Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury.

You will translate banking requirements into scalable data architectures, design and validate data models (Teradata FSDM, dimensional models), and collaborate with stakeholders to deliver data-driven insights that support strategic decisions across Wholesale Banking, Retail, and Global Markets.

Qualifications

• Proven experience as a Functional BA and/or System Analyst in the banking domain.
• Experience translating complex banking requirements into data solutions; strong data profiling and testing skills.
• Knowledge of Regulatory Compliance, AML/CFT, and Fraud Risk Management in Banking.

Responsibilities

• Engage with business stakeholders to gather, analyze, and decompose requirements across Wholesale Banking, Retail, and Global Markets domains.
• Translate business requirements into functional and technical specifications for data solutions.
• Design and validate data models including Teradata FSDM and Dimensional models; prepare reporting tables.
• Develop test strategies and scripts for data validation and solution integrity.

Skills

SQL scripting

Data analysis

Data modeling

Teradata FSDM

Dimensional modeling

Business analysis

Stakeholder management

Education

Bachelor's degree in IT/Finance

CBAP or DAMA certification

Tools

Teradata

Murex - Treasury

SAP GL

Silver Lake Core Banking

Job description

United Overseas Bank Ltd seeks a VP System Analyst with deep data-domain expertise across Wholesale Banking, including Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury.

You will translate banking requirements into scalable data architectures, design and validate data models (Teradata FSDM, dimensional models), and collaborate with stakeholders to deliver data-driven insights that support strategic decisions across Wholesale Banking, Retail, and Global Markets.