Senior Financial Risk Analytics Engineer

About the role

The Senior Financial Risk Analytics Engineer supports the bank’s reserving, stress‑testing, underwriting and financial forecasting activities. The role designs, develops and maintains data workflows, analytical solutions and credit loss models to meet regulatory compliance and strategic decision‑making needs.

Key responsibilities

• Research, scope and manage business requirements for CECL credit loss models, including stress‑testing, reserving and underwriting.
• Design, develop, code, implement and maintain analytical models and supporting infrastructure.
• Build and maintain robust data workflows and automated processes for forecasting, reserving and risk management.
• Create user‑friendly reports, dashboards and visualisations to support decision‑making.
• Maintain workpapers, model documentation and change‑management records in line with governance, audit and regulatory standards.
• Collaborate with Finance, Risk, IT, Data Management and business partners to enhance analytical solutions.

Required profile

• Bachelor’s degree in a quantitative field (Computer Science, Data Science, Finance, etc.); Master’s degree preferred.
• 10+ years of experience with relational databases (Oracle, SQL) and software/data engineering in a commercial bank.
• 5+ years of modeling, quantitative or financial analytics experience in banking.
• Experience supporting reserving, stress‑testing, underwriting, forecasting or risk‑management solutions.

Required skills

• Proficiency in SAS and R or Python.
• Strong SQL development and experience with large‑scale data infrastructures.
• Designing and maintaining data pipelines using tools such as Apache Airflow.
• Experience with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Knowledge of BI and dashboard tools like Tableau or Qlik Sense.