AI / ML Operations (core focus) Monitor AI/ML-enabled operational processes daily; flag drift, anomalies and output-quality degradation against defined thresholds. – Perform first-line investigation of model/data anomalies and route to the correct owner (Model Risk, Data Science, Engineering, Risk). – Support the human-review and escalation workflow for AI-flagged exceptions, maintaining a clean audit trail. – Contribute to tuning of alerting logic and thresholds as model behaviour and data patterns evolve.

Automation & Tooling – Build and maintain automated alerts, dashboards and scripts that reduce manual monitoring and reconciliation effort. – Identify recurring manual tasks and propose/build automation, working with the Lead Analyst to prioritize. – Maintain and enhance existing automation/scripts as upstream systems and data feeds change.





Monitoring & Incident Support – Monitor batch, interface and application health for CCR/exposure systems; investigate exceptions within SLA. – Support incident management: log, triage severity, coordinate with Engineering, and contribute to RCA for recurring issues. – Track and report incident/SLA metrics for the processes owned.

CCR & Risk Context (supporting knowledge) – Apply working understanding of exposure, EPE/PFE, limits and collateral concepts to sense-check monitoring outputs and reconciliation breaks. – Review trade, market-data, counterparty and collateral reconciliation breaks between upstream and downstream systems as part of anomaly triage.

📌 Analyst/Senior Analyst/Lead Analyst - AI Operations (Pune)
🏢 Symphoni HR
📍 Pune