Job Summary:

We are looking for a highly capable and experienced SystemAnalyst with deep domain expertise in Group Wholesale Banking(FinancingSolutions, Trade Services, Cash & Liquidity Management and Treasury),including Retail and Global Markets products. The ideal candidatewill serve as a techno-functional leader in the DataDomain, driving strategic alignment, solution relevance, andbusiness-technology integration.

Understanding the business context of Wholesale Banking isessential 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
  

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)