Position: Lead Business Analyst
Experience: 5 7 Years
Category: Software Engineering
Shift: 12.30 PM to 10.00 PM IST
Work Mode: Hybrid (3 days in office, 2 days WFH)
Primary location: India, Karnataka, Bangalore
CGI Office: TPLS Bangalore / E city Bangalore / DLF Chennai / DLF Hyderabad
Employment Type: Full Time
#LI-BK7
Key Responsibilities
. Gather and synthesize business requirements for regulatory reporting initiatives, with emphasis on FRB TIC Series B & D Reports, TIC S series, and 2420 reports, leveraging AI tools to enhance analysis speed and insight depth
. Partner with stakeholders across Finance, Audit, and Technology to identify opportunities for AIdriven efficiency improvements and process optimization in requirement gathering workflows
. Design and architect data retrieval solutions using SQL and Python to support requirements analysis, enabling the team to extract and analyze complex datasets from multi platform finance systems
. Conduct root cause and gap analyses of existing regulatory reporting processes, documenting findings and translating them into clear technical and functional specifications
. Collaborate with development teams to validate requirements through testing and iterative feedback loops, ensuring solutions meet regulatory and business objectives
. Maintain comprehensive documentation of systems, processes, and requirement changes, creating knowledge repositories that support ongoing enhancements
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Mentor team members on AI tool adoption and prompt engineering best practices to institutionalize efficiency gains across the group
Required Skills Must Have
. 57 years of IT Business Analyst experience with strong background in Finance systems and regulatory reporting projects
. Intermediate level proficiency in SQL and Python for data retrieval, querying, and . analytical support
. Demonstrated experience with multi platform, large scale financial data environments and finance reporting initiatives
. Exposure to regulatory reporting frameworks and comfort working with complex compliancerequirements
. Strong cooperative and communication skills with ability to translate between technical and nontechnical stakeholders
Preferred Skills
. Previous Background or exposure to Capital Markets, Wealth Management, Accounting & Finance
. Experience with AI/LLM evaluation frameworks or prompt engineering methodologies
. Familiarity with cloud data platforms like Snowflake
. Track record of driving digital transformation or process automation initiatives in financial services
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.