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 environment). ● 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. ● Robust stakeholder communication — comfortable presenting operational updates to senior Risk/Technology/AD-level stakeholders.

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