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)