System Analyst - Wholesale Banking (Techno-Functional Data Domain)

Hong Kong Unison Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Hong Kong Unison Limited is seeking a System Analyst for the Data Domain in Wholesale Banking. You will lead techno-functional data initiatives across Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury.

You will translate business needs into scalable data architectures, design and validate data models (Teradata FSDM, dimensional models), perform data profiling, and document specifications.

Qualifications

• Proven experience as a Functional BA and/or System Analyst in banking, preferably Wholesale Banking.
• Strong techno-functional expertise in data architecture and business analysis.
• Proficient in data profiling, SQL scripting, and data validation techniques.
• Experience with core banking and financial systems listed above.
• Familiarity with regulatory compliance frameworks in banking.

Responsibilities

• Engage with stakeholders to gather and decompose requirements across Wholesale Banking, Retail, and Global Markets.
• Translate requirements into functional and technical specifications for data solutions.
• Design and validate data models including Teradata FSDM and dimensional models.
• Develop test strategies and scripts for data validation.
• Collaborate with data architects, engineers, and business teams to ensure alignment.

Skills

Data architecture

Business analysis

Stakeholder management

SQL scripting

Data profiling

Leadership

Data governance

Education

Bachelor's degree in IT/Banking

Tools

Teradata

Murex

SAP GL

Job description

System Analyst - Wholesale Banking (Techno-Functional Data Domain)

We are looking for a highly capable and experiencedSystem Analystwith deep domain expertise inGroup Wholesale Banking (Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury), includingRetail and Global Markets products. The ideal candidate will serve as atechno-functional leaderin theData Domain, driving strategic alignment, solution relevance, and business-technology integration.

Understanding the business context of Wholesale Banking is essential to:

• Design and deliver data solutions aligned with business priorities
• Translate complex banking requirements into scalable data architectures
• Strengthen collaboration with business stakeholders and product teams
• Drive innovation and value creation through data-driven insights

Key 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, Dimensional Models, and Reporting Tables
• Perform data profiling and write query scripts for analysis and testing
• Map data attributes from key product systems such as:
• Silver Lake Core Banking
• Murex - Treasury
• SAP GL
• Author detailed documentation including Functional Specifications, Solution Designs, and Training Manuals
• Develop and execute test strategies and scripts for data validation and solution integrity
• Collaborate with data architects, engineers, and business teams to ensure solution alignment and delivery
• Provide insights and recommendations based on data analysis to support strategic decision-making

Required Qualifications:

• Proven experience as a Functional BA and/or System Analyst in the banking domain, preferably within Wholesale Banking
• Strong techno-functional expertise in data architecture and business analysis
• Deep understanding of Wholesale Banking products and services
• Functional domain knowledge on Regulatory Compliance Framework, AML/CFT/Sanctions, Fraud Risk Management and Compliance in Business Operations
• Proficient in data profiling, SQL scripting, and data validation techniques
• Expertise in designing and implementing data models for enterprise-scale solutions
• Familiarity with core banking and financial systems listed above
• Strong analytical and problem-solving skills with the ability to manage large volumes of information
• Excellent communication and stakeholder engagement skills

Preferred Qualifications:

• Experience in data governance, data quality, and metadata management
• Knowledge of regulatory and compliance requirements in banking
• Exposure to Agile methodologies and enterprise data platforms
• Certifications in Business Analysis, Data Management, or related fields (e.g., CBAP, DAMA)