Job Summary: We are looking for a highly capable and experienced
System Analyst with deep domain expertise in
Group Wholesale Banking (Financing Solutions, Trade Services, Cash & Liquidity Management and Treasury), including
Retail and Global Markets products. The ideal candidate will serve as a
techno-functional leader in the
Data 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
- FITAS Trade Finance
- 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
Requirements
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)
