Analyst – AI Ops Support

Job Description
Analyst — AI Operations Support Team, Counterparty Credit Risk Technology
Analyst – AI Ops Support
Experience
1–3 years Location
Chennai (preferred) / Pune
ROLE PURPOSE
Provide first-line AI Ops monitoring support for CCR Technology applications — watching dashboards and alerts, performing initial checks on AI/ML-flagged exceptions, and executing defined automation and reconciliation tasks. The role expects CCR domain familiarity on the job.
KEY RESPONSIBILITIES

AI / ML Operations Monitoring (core focus)
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Monitor AI/ML-enabled process dashboards and alerts on a daily/intraday basis per defined runbooks.
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Perform first-pass checks on flagged anomalies/exceptions and log findings for Senior Analyst review.
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Support the human-review workflow for AI-flagged exceptions, ensuring items are logged and tracked to closure.

Monitoring & Reconciliation Support
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Monitor batch/interface completion for daily and intraday processing cycles; escalate delays or failures per SOP.
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Run defined reconciliation checks between upstream and downstream systems and log breaks.
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Execute existing automation scripts/dashboards and report issues or gaps to the Senior Analyst.

Incident Support
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Log incidents accurately with correct severity tagging; track through to resolution per SLA.
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Support RCA activities by pulling logs, data extracts and evidence as directed.

Domain Knowledge
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Working familiarity with core CCR concepts (exposure, EPE/PFE, limits, collateral) to interpret alerts more independently over time.
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Participate in knowledge-transfer sessions and cross-training; maintain and update SOP documentation as processes evolve.
REQUIRED SKILLS & EXPERIENCE

1–3 years in technology operations, production support, or a related monitoring/data function; freshers with strong technical aptitude may be considered.

Basic working knowledge of SQL; exposure to Python or scripting is a plus.

Familiarity with dashboards/monitoring tools, or strong aptitude to learn them quickly.

Working knowledge of Counterparty Credit Risk / financial markets concepts — prior exposure is a plus

Disciplined, detail-oriented, comfortable following SOPs and escalation protocols in a production environment.

Good written communication for incident logging and SOP documentation.