System Analyst

Roles and Responsibilities: • Perform detailed effort estimation for projects and change requests. • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner • Review and approve test strategies, functional test cases, and data validation approaches. • Experience translating business and compliance requirements into NLP enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents • Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases • Analyze business and regulatory requirements and translate them into scalable solution designs. • Perform detailed effort estimation for projects and change requests. • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner • Review and approve test strategies, functional test cases, and data validation approaches. • Ability to design data architectures supporting NLP and AI driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. • Experience translating business and compliance requirements into NLP enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents • Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Mandatory skills:

• Data architecture (Data Lake & Data Warehouse) • NLP & AI use case design (text classification, entity extraction, summarization) • Requirements analysis & solution design • Stakeholder communication & management • Effort estimation & project planning • Test strategy & data validation review • Enterprise data platform experience

Desired skills: • Regulatory & compliance domain knowledge • Data curation & data layering strategies • Unstructured data processing • Risk management & governance • Banking domain experience • AI/NLP-based analytics implementation