System Analyst - Wholesale Banking Data Domain

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

• 10+ years of proven experience as a Functional BA and/or System Analyst in the banking domain
• 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)