Senior Manager, Credit Risk Analytics

Key Responsibilities

• Define and execute the analytics roadmap for credit risk, aligning models and data pipelines with business objectives.
• Lead a multidisciplinary team of data scientists, analysts, and engineers to build, validate, and productionize machine‑learning models for default prediction, exposure forecasting, and portfolio monitoring.
• Design and maintain scalable data architectures on AWS, ensuring reliable data ingestion, transformation, and storage for large‑scale credit datasets.
• Collaborate with risk, finance, and product stakeholders to translate business requirements into analytical solutions and actionable insights.
• Establish governance, model monitoring, and performance reporting processes to meet regulatory and internal compliance standards.

Requirements

• 5+ years of experience in credit risk analytics, financial modeling, or related quantitative roles.
• Strong proficiency in Python and SQL, with hands‑on experience building machine‑learning models (e.g., gradient boosting, neural networks) for risk assessment.
• Deep understanding of risk modeling techniques, credit scoring, and regulatory frameworks (e.g., Basel III, CECL).
• Experience deploying analytics solutions on AWS (S3, Redshift, SageMaker, Lambda) or comparable cloud environments.
• Proven leadership abilities, with a track record of managing technical teams and delivering complex projects on schedule.