Senior Manager, Model Development

The Senior Manager, Risk Analytics, Models & Insights is a senior individual contributor responsible for the development, enhancement, implementation, monitoring, and governance of enterprise credit risk models and analytics solutions. The incumbent will support the development and maintenance of AIRB and IFRS 9 models, deliver risk insights to senior management, and ensure compliance with internal governance and regulatory requirements.

The incumbent will lead complex analytical initiatives, drive methodological enhancements, support regulatory and audit activities, and champion the adoption of advanced analytics, automation, and Artificial Intelligence (AI) to improve efficiency, insight generation, and risk management practices across the Bank.

Develop, enhance, and monitor credit risk models and analytical solutions supporting AIRB, IFRS 9, ICAAP, stress testing, climate risk, and portfolio risk management activities.

Perform quantitative analysis, model calibration, validation support, annual reviews, performance monitoring, and risk assessments to support business and regulatory requirements.

Collaborate with Risk, Finance, Data, Technology, Audit, and Model Risk Management stakeholders to deliver high-quality analytical solutions and insights.

Contribute to the development of a robust data infrastructure for model development and analytics.

Regularly review data used in model development for required changes/improvements.

Work with IT and business unit teams to implement and execute models and analyses in support of on-going financial disclosure, regulatory reporting, and ad hoc analyses.

Prepare model documentation, technical reports, and supporting materials for management, validation, audit, and regulatory reviews.

Leverage Artificial Intelligence, machine learning, and automation technologies to improve model development, risk monitoring, reporting, operational efficiency, and decision-making processes.

Ensure model development and analytical activities comply with internal policies, governance standards, and regulatory requirements.

• Master's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative field.
• 2+ years of experience in credit risk model development, model validation, quantitative analytics, or related areas within financial services.
• Strong knowledge of AIRB, IFRS 9, stress testing, ICAAP, or similar risk management frameworks.
• Advanced programming skills in Python and SQL.
• Experience with statistical modeling, machine learning, and data science techniques.
• Familiarity with Generative AI, AI-assisted analytics, or process automation technologies is strongly preferred.
• Strong technical documentation, presentation, and communication skills.
• Ability to independently manage complex analytical initiatives and deliver high-quality results with minimal supervision.