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Metro-based mid-level BA with broad AI/SQL skills and popular title increases competition.
Requires deep financial operations and trade lifecycle knowledge limiting cross-industry transferability.
Explicit 5–8 years, domain expertise in financial operations, plus BPMN and SQL requirements make shortlisting highly selective.
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Analyze and map operational workflows to identify high-value automation opportunities in financial and healthcare business units.
Create detailed process maps, data flow diagrams, and define business rules, exceptions, and validation criteria for trade, reconciliation, and reporting processes.
Collaborate with AI engineers and manage User Acceptance Testing to ensure automated systems meet business logic and measure efficiency gains post-implementation.
5–8 years experience as a Business Analyst in Financial Operations, FinTech, or Enterprise Automation programs.
Proficiency in process modeling standards (BPMN, UML) and functional specification documentation.
Strong knowledge of financial products, back-office workflows, and trade management lifecycle.
Proficiency in SQL for database querying and data analysis.
Experienced in cross-functional collaboration between business units and AI engineering teams to implement automation.
Skilled in translating complex manual financial processes into technical and functional specifications.
Capable of assessing operational efficiency and validating automation business cases through quantitative measurement.