As an IT & Quantitative Risk Engineering of SIX Clearing, you will you will be a key member of our Financial Quantitative Risk Management team. Your primary responsibility is to ensure the stability, automation, and reliability of the technical platforms supporting quantitative risk management.

The role is primarily focused on IT engineering, data platforms, and operational excellence (≈70–80%), while contributing to quantitative risk processes (≈20–30%), ensuring robust, scalable, and high-quality data and infrastructure in a mission-critical environment.

What You Will Do
- Design, optimize, and maintain SQL Server databases (tables, views, stored procedures, automation of data loads)
- Develop and run Python-based ETL pipelines for ingestion, validation, and quality control of financial data
- Integrate and manage market data flows from external (e.g., Reuters) and internal providers
- Build and maintain automated risk calculation processes supporting Quant teams in production
- Ensure platform reliability (Windows servers,



monitoring, patching, incident resolution) and support containerized environments (Docker)
- Implement and operate DevOps practices (Git, CI/CD pipelines, automated deployments) while supporting critical IT services continuity

What You Bring
- Strong experience in IT engineering / data platforms / infrastructure, preferably in financial or regulated environments
- Advanced expertise in SQL Server (data modeling, performance tuning, automation)
- Solid programming skills in Python (ETL, data processing, automation)
- Hands-on experience with DevOps tools (Git, CI/CD, containerization such as Docker)
- Understanding of financial data and basic Quant risk concepts, with ability to support quantitative processes
- Strong analytical mindset, reliability under pressure, collaborative and ability to operate in mission-critical environments

📌 IT & Quantitative Risk Engineering Analyst (Madrid)
🏢 BME | Bolsas y Mercados Españoles
📍 Madrid