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)

System Analyst - Wholesale Banking Data Domain