Lead Analyst – AI Ops Support

Crisil; Pune District, Chennai District; Presencial; INR 3.000.000 - 5.200.000; Jornada completa

Descripción de la vacante

Crisil seeks a Lead Analyst to head the AI Operations Support Team for Counterparty Credit Risk Technology. You’ll supervise offshore analysts, oversee production monitoring of AI/ML processes, and drive automation, dashboards, and escalation protocols. Strong CCR knowledge and stakeholder communication are essential.

The role emphasizes governance, performance tracking, and cross-functional collaboration with Risk, Technology, and Engineering teams across offshore/onshore delivery models.

Formación

• 8–10 years in technology operations / production support.
• Experience monitoring AI/ML models in production: performance, drift, anomaly detection, human-review workflows.
• Hands‑on exposure to AI Ops/observability tooling (dashboards, alerting platforms, log/metric analytics).
• Solid grounding in Counterparty Credit Risk concepts (EPE/PFE, exposure, limits, collateral).
• Prior team‑lead or people‑management experience in an offshore/onshore delivery model.
• Strong stakeholder communication — presenting operational updates to senior stakeholders.

Responsabilidades

• Own end-to-end production monitoring of AI/ML-enabled processes across CCR technology.
• Track model performance, drift, data-quality degradation and alerting logic 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: predictive monitoring, anomaly detection, and self-healing workflows.
• Act as primary interface between AI Ops, Model Risk, Data Science and Engineering on model-related production issues.
• Lead automation backlog to reduce manual monitoring and exceptions; build dashboards and alerts.

Conocimientos

AI Ops

MLOps

Production monitoring

Team leadership

Stakeholder management

CCR concepts

Descripción del empleo

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.

Strong stakeholder communication — comfortable presenting operational updates to senior Risk/Technology/AD-level stakeholders.