Risk Data Engineer

• Design, develop, and maintain advanced SQL-based tools for monitoring and controlling market risk and credit risk
• Create and optimize automated engines for capital requirement calculations and regulatory reporting
• Build and improve risk visualization tools, including dashboards and automated reports for internal and external stakeholders
• Analyse the impact of specific risk factors on the Company's financial and capital position
• Develop robust data pipelines (ETL) between different data sources to ensure high data quality for risk models

Key requirements:

• University degree in Computer Science, Mathematics, Finance, or a related quantitative field
• Minimum 2 years of experience in analytical or developer roles within the financial sector
• Strong proficiency in SQL for data analysis and reporting
• Strong analytical thinking and experience working with large, complex datasets
• Good command of English for professional communication

Nice to have:

• Working knowledge of Python for data extraction and automation is a strong asset
• Experience in GCP, Azure or especially Snowflake will be strong advantage