About the role
The role combines risk expertise, quantitative analytics, and technology to deliver high‑impact, data‑driven solutions for financial institutions. As a Senior Consultant, you will focus on using Python and SAS to design, develop, automate, and enhance risk models, analytics, and regulatory solutions.
ConsultingOnsite
Key Responsibilities
- Design, develop and maintain analytical and quantitative solutions with a strong emphasis on Python and SAS
- Perform data extraction, transformation and analysis on large and complex datasets from financial institutions
- Develop, automate and enhance risk models, calculations and reporting processes using Python and SAS
- Support model development, validation and monitoring activities (e.g., credit risk, market risk, capital, IFRS 9, stress testing)
- Build robust, efficient and reusable Python and SAS code aligned with best practices
- Translate regulatory and business requirements into technical and analytical implementations
Requirements
- 3+ years of professional experience with Python and SAS, preferably in a financial services or consulting context
- Strong practical experience in Python (pandas, numpy, scripting, automation, analytical workflows) and SAS (data processing, analytical procedures, risk calculations, reporting)
- Experience working with large datasets and complex data structures
- Academic background in Mathematics, Statistics, Engineering, Economics, Finance, Computer Science or similar
- Good understanding of risk management or regulatory analytics applied to financial institutions
- Strong written and verbal communication skills in English