Job Description
Lead Analyst — AI Operations Support Team, Counterparty Credit Risk Technology
Lead Analyst – AI Ops Support
Experience
8–10 years Location
Chennai (preferred) / Pune Team size managed
3–4 analysts (Senior/Junior)
ROLE PURPOSE
Lead the offshore AI Ops Support function for the client's Counterparty Credit Risk (CCR) Technology team. The role is primarily an AI/ML operations role owing production monitoring, performance and active oversight, and automation of AI-enabled controls across CCR exposure, EPE/PFE and risk-reporting pipelines. A working knowledge of CCR concepts is a mandatory enabler, not the core of the job - required so the lead can correctly interpret alerts, detect false positives from genuine risk issues, and hold credible conversations with Risk, Model Risk and Technology stakeholders.
KEY RESPONSIBILITIES
●
AI / ML Operations (core focus)
–
Own end-to-end production monitoring of AI/ML-enabled operational processes across the CCR technology team.
–
Track model performance, drift, data-quality degradation and output anomalies; define thresholds and alerting logic in partnership with Model Risk and Data Science.
–
Establish human-in-the-loop review and escalation protocols for AI-flagged exceptions.
–
Own the AI Ops tooling roadmap for the team: predictive monitoring, anomaly detection, automated prioritization and self-healing workflows.
–
Act as the primary interface between AI Ops, Model Risk, Data Science and Engineering on all model-related production issues.
●
Automation & Continuous Improvement
–
Drive a team-wide automation backlog: automate manual monitoring, reconciliation and exception-management activities currently done manually.
–
Build and maintain dashboards, automated alerts and AI-assisted investigation tools; measure and report reduction in manual touchpoints and operational risk.
–
Prioritize and sequence automation initiatives against incident trends and MTTR data.




●
Incident & Problem Management
–
Primary escalation point for high-severity incidents across CCR applications and AI-enabled processes.
–
Lead root-cause analysis for recurring calculation, data and model issues; own the permanent-fix backlog with Engineering.
–
Track incident volumes, SLA breaches, MTTR and recurring-problem trends; report on operational health.
●
CCR & Risk Context (supporting knowledge)
–
Apply working knowledge of exposure, EPE/PFE, limits and collateral/margin concepts to correctly interpret monitoring alerts and data breaks.
–
Coordinate investigation of exposure/data discrepancies with Risk and upstream/downstream technology teams, as an input to the AI Ops response, not the primary workstream.
●
Governance, Team Leadership & Stakeholder Management
–
Maintain SOPs, runbooks, escalation matrices and control evidence for audit and model-governance requirements.
–
Manage work allocation, quality review, KPIs and cross-training across the analyst team.
–
Provide regular operational health and improvement reporting to clients and other senior stakeholders.
REQUIRED SKILLS & EXPERIENCE
●
8–10 years in technology operations / production support, with at least 3–4 years in an AI Ops, MLOps or AIOps-adjacent capacity.
●
Demonstrated experience monitoring AI/ML models in production — performance, drift, anomaly detection, human-review workflows.
●
Hands-on exposure to AI Ops/observability tooling (e.g. dashboards, alerting platforms, log/metric analytics; specific tool stack per client workplace).
●
Solid grounding in Counterparty Credit Risk concepts (EPE/PFE, exposure, limits, collateral) enough to independently prioritize whether an alert is a data, model or genuine risk issue.
●
Prior team-lead or people-management experience in an offshore/onshore delivery model.
●
Strong stakeholder communication — comfortable presenting operational updates to senior Risk/Technology/AD-level stakeholders.

📌 Lead Analyst AI Ops Support (Pune)
🏢 Crisil
📍 Pune