Data Manager – Credit Risk

About the role

EXL’s Credit Risk Practice is looking for a Data Manager to lead the end‑to‑end management of data assets that support credit risk modeling, strategy development, and regulatory initiatives. The role ensures data quality, governance, lineage, and availability throughout the model lifecycle while acting as a bridge between business, risk, technology, and data teams.

Key responsibilities

• Define and document data requirements, lineage, metadata standards, and governance frameworks for risk analytics.
• Assess data availability, completeness, accuracy, and quality for model development, validation, monitoring, and reporting.
• Partner with business stakeholders, data engineering, and technology teams to source, integrate, and maintain internal, external, and third‑party data assets.
• Establish and maintain data dictionaries, business glossaries, technical documentation, and controls for model governance and regulatory compliance.
• Manage stakeholder communication, project timelines, dependencies, risks, and issue resolution across multiple data initiatives.
• Develop and monitor data quality controls, reconciliation processes, validation checks, and exception management procedures.
• Support data governance committees and ensure adherence to enterprise policies, regulatory requirements, and audit standards.
• Identify gaps in data processes and recommend improvements to enhance data integrity and operational efficiency.
• Drive automation and optimization initiatives to improve data acquisition, transformation, monitoring, and reporting.

Required profile

• Bachelor’s degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Engineering, Finance or related field; Master’s preferred.
• 9+ years of experience in data management, data governance, data analytics, risk analytics, or related functions within banking, financial services, consulting, or fintech.
• Strong understanding of data governance frameworks, data lineage, metadata management, and data quality management principles.
• Experience supporting risk modeling, credit risk, regulatory reporting, or analytics initiatives.

Required skills

• Data governance
• Data lineage
• Metadata management
• Data quality management