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Tier-1 brand, metro locations, and mid-senior analytics title increase competition.
Strong banking risk, compliance, and enterprise AI governance needs reduce cross-industry transferability.
Mandatory 7+ years plus required LLMs, Python, GCP, and AI architecture skills create high filtering.
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Lead strategy, architecture, and execution of AI-driven Front Line Monitoring transformation including platform modernization, SAS-to-Python migration, cloud adoption (GCP), workflow automation, and AI-powered risk monitoring solutions.
Own development and delivery of scalable AI and analytics capabilities to improve risk signal detection and operational efficiency across Business Operations Support (BOS).
Define enterprise standards for Agentic AI, AI engineering, governance, and analytics architecture; influence technology roadmaps and partner with senior leaders across business, risk, compliance, and technology.
7+ years of experience in Analytics, Reporting, Financial Modeling or Statistics, or equivalent experience.
Mandatory expertise in Python for AI development and analytics; experience with Agentic AI, LLMs, LLM APIs, MCP architectures, cloud platforms (GCP).
Willingness to work onsite at Bangalore or Hyderabad locations with mid-shift (1:30 PM - 10:30 PM), Monday to Friday, weekends off.
Work Experience Required: 7+ years in relevant analytics or AI roles explicitly stated.
Proven leadership in large-scale AI and enterprise analytics platform modernization and transformation initiatives, including cloud and automation programs.
Strong capability to design, architect, and govern enterprise AI ecosystems aligned to risk management and compliance within regulated financial services.
Experience influencing and advising senior stakeholders across business, risk, compliance, and technology in matrixed environments to drive adoption of advanced AI solutions and monitoring frameworks.