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 **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. **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) \#LI-CTSAPAC Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.