Credit Risk Data Quality & Surveillance Analyst

Key Responsibilities

• Design, implement, and maintain automated surveillance tools to monitor credit portfolio data quality and integrity.
• Collaborate with risk, analytics, and IT teams to define data governance standards and ensure compliance with regulatory requirements.
• Analyze credit portfolio performance, identify data anomalies, and recommend corrective actions to improve risk assessment accuracy.
• Develop and deliver dashboards and reports that provide actionable insights on data quality metrics and risk exposure.
• Lead continuous improvement initiatives to streamline data collection, validation, and reporting processes.

Requirements

• Strong background in credit risk management and portfolio analysis.
• Proficiency in data quality frameworks, surveillance techniques, and data governance principles.
• Experience with automation tools and scripting (e.g., Python, SQL).
• Excellent analytical, problem‑solving, and communication skills.
• Ability to work cross‑functionally in a fast‑paced environment.