Analyst, AI Operations Support

This role focuses on providing first-line AI operations monitoring for counterparty credit risk technology applications. You will be responsible for monitoring dashboards, managing AI/ML-flagged exceptions, and executing reconciliation tasks to ensure system stability. This is an ideal opportunity for a detail-oriented professional to bridge the gap between financial risk concepts and technical production support.

Our client is a leading global provider of research, analytics, and technology solutions to the financial services industry. They support major financial institutions worldwide by delivering high-quality data, risk management tools, and operational excellence. The company fosters a collaborative, fast-paced environment that values technical innovation and domain expertise.

Responsibilities

• Monitor AI/ML-enabled process dashboards and alerts on a daily and intraday basis following established runbooks.
• Perform initial investigations on flagged anomalies and exceptions, logging findings for senior review.
• Support the human-review workflow for AI-flagged exceptions to ensure timely tracking and closure.
• Monitor batch and interface completion for processing cycles, escalating delays according to standard operating procedures.
• Execute reconciliation checks between upstream and downstream systems and document any identified breaks.
• Run existing automation scripts and report technical issues or process gaps to the team.
• Log incidents with accurate severity tagging and track them through to resolution within defined SLAs.
• Assist in root cause analysis by gathering logs, data extracts, and necessary evidence.
• Maintain and update standard operating procedure documentation as processes evolve.

Requirements

• 1-3 years of experience in technology operations, production support, or a related monitoring function.
• Basic working knowledge of SQL is required.
• Exposure to Python or general scripting is considered a strong advantage.
• Familiarity with Counterparty Credit Risk concepts or broader financial market knowledge.
• Strong aptitude for learning monitoring tools and dashboard management.
• Excellent written communication skills for effective incident logging and documentation.
• Disciplined approach to following standard operating procedures and escalation protocols in a production environment.