It Application Analyst (Quant Risk)

Experteer Overview In this role you will support SIX Clearing by ensuring stable, automated, and reliable quantitative risk data platforms.You will work on IT engineering, data platforms, and operational excellence to enable robust, scalable risk workflows in a mission-critical environment.You will also contribute to refining quantitative risk methodologies within SIX Group policies and regulatory compliance.This position offers exposure to cross-functional teams and a meaningful impact on market resilience.A strong hook is the chance to shape quant risk tooling in a leading European exchange ecosystem.Compensaciones / Beneficios* Design, optimize, and maintain SQL Server databases and automation of data loads* Develop and run Python-based ETL pipelines for financial data ingestion and validation* Integrate and manage market data flows from external and internal providers* Build and maintain automated risk calculation processes in production* Ensure platform reliability across Windows servers, monitoring, patching, and incident resolution* Support containerized environments (Docker) and DevOps practices (Git, CI/CD, automated deployments)* Calibrate and review quantitative risk models, stress tests, and scenario analyses for resilienceResponsabilidades* 2-3 years in IT engineering/data platforms/infrastructure in financial or regulated settings* Advanced SQL Server expertise (data modeling, performance tuning, automation)* Solid Python programming for ETL and data processing* Hands-on experience with DevOps tools (Git, CI/CD, Docker)* Interest in financial sector and quant risk concepts* Strong analytical mindset, reliability under pressure, collaborative spirit* Good communication in English and SpanishRequisitos principales* Flexible Work Models* Personal Development and extensive learning offering* Agile working methods

• 2-3 years in IT engineering/data platforms/infrastructure in financial or regulated settings
• Advanced SQL Server expertise (data modeling, performance tuning, automation)
• Solid Python programming for ETL and data processing
• Hands-on experience with DevOps tools (Git, CI/CD, Docker)
• Interest in financial sector and quant risk concepts
• Strong analytical mindset, reliability under pressure, collaborative spirit

• Good communication in English and Spanish Requisitos principales

• Flexible Work Models
• Personal Development and extensive learning offering
• Agile working methods