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Niche combo of banking, e-commerce, and AI reduces candidate pool despite generalist 'Business Analyst' title.
Strong banking, regulatory, and e-commerce requirements make cross-industry transitions difficult.
Explicit 5+ years BA, 2+ years AI experience, and mandatory banking plus e-commerce requirements increase filtering.
Own requirement gathering, analysis, and documentation for AI/ML-based banking solutions, including functional specifications and process flows.
Collaborate with product, technology, and data science teams to align AI capabilities with business objectives and support AI solution development and validation.
Analyze and optimize banking processes ensuring compliance with regulatory frameworks; act as the key liaison among business, technology, and AI teams including stakeholder management and preparation of business cases.
Minimum 5 years of experience as a Business Analyst, with at least 2 years in AI/ML or data-driven projects.
Prior experience in the e-commerce domain is mandatory.
Strong knowledge of banking operations, digital channels, lending, payments, and regulatory compliance (GDPR, PCI-DSS, SWIFT CSP, PDPL).
Hands-on experience with AI/ML concepts, NLP, chatbots, RPA, predictive analytics, Power BI or Tableau, and Agile/Scrum methodologies.
Experienced in bridging business and AI/ML technology teams with proven capability in stakeholder engagement within banking and e-commerce sectors.
Skilled in translating complex AI/ML concepts into functional business requirements and documentation (BRDs, FRDs, BPMN, UML, user stories).
Strategic understanding of banking regulatory frameworks and responsible AI governance to support compliance and risk teams.