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Mid-level (5–8 yrs), metro Hyderabad, and known fintech employer increase competition.
Role requires deep financial operations and trade lifecycle knowledge, limiting cross-industry transferability.
Explicit 5–8 years, finance-domain expertise, BPMN/UML and SQL make filters strict.
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Analyze and map operational workflows to identify high-value automation opportunities within business units.
Develop detailed process maps, data flow diagrams, and decision matrices for manual procedures especially in trade breaking, reconciliation, and reporting.
Collaborate with AI Engineers to ensure automation systems comply with business rules and lead User Acceptance Testing and operational review cycles to measure post-implementation efficiency.
5 to 8 years of experience as a Business Analyst in Financial Operations, FinTech, or Enterprise Automation programs.
Proficiency in process modeling standards such as BPMN and UML and strong functional specification writing skills.
Strong knowledge of financial products, back-office workflows, trade management lifecycles, and practical understanding of AI automation and operational risk controls.
Proficiency in SQL for database querying and operational data analysis.
Location: Hyderabad, India (Hybrid work model).
Experienced in navigating complex financial operations and enterprise automation environments with strong domain expertise in core financial products and trade processes.
Detail-oriented with demonstrated ability to create explicit, technical process documentation and translate operational needs into technical requirements.
Able to bridge technical AI engineering teams and business users, effectively coordinating testing and operational validation activities.