Senior Financial Risk Analytics Engineer
Core
Design, develop, and maintain data workflows, analytical solutions, and credit loss models (CECL, stress-testing, underwriting) to support regulatory compliance, risk management, and strategic decision-making.
Role type
Senior Financial Risk Analytics Engineer
Builds
Scalable analytical solutions, automated data pipelines, and reporting dashboards for Finance, Risk, and IT partners.
Domain
Banking / Financial Services / Quantitative Analytics
Deliverable
production ML models
Required skills
Relational database management (Oracle, SQL), software engineering, data engineering, analytical modeling (SAS, R, Python), data pipeline orchestration (Apache Airflow), statistical modeling, regulatory compliance (CECL, audit)
Preferred skills
Cloud platforms (AWS, Azure, GCP), full-stack development, CI/CD, credit scorecard development, advanced statistical theory, machine learning methodologies
Technologies
Oracle, SQL, SAS, R, Python, Apache Airflow, Tableau, Qlik Sense, AWS, Azure, GCP
Responsibilities
Research and manage business requirements for CECL credit loss models; design and implement analytical models and infrastructure; build robust data workflows for forecasting and risk management; create user-friendly reports and dashboards; maintain model documentation and workpapers for governance and audit; collaborate with cross-functional stakeholders to deliver analytical solutions.
Seniority
Senior, hands-on IC