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# It Application Analyst (Quant Risk)

- **Company:** SIX Group
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), Microsoft SQL Server, Windows Servers, Performance Tuning, SQL Stored Procedures, Data Processing, Git, Containerization, Information Technology, Deployment Automation, Data Management, Software Coding, Docker
- **Published:** August 7, 2026
- **Apply:** https://www.buscojobs.com.es/it-application-analyst-quant-risk-en-madrid-ID-366109572

## About the Role

In addition, it contributes to enhancing the existing quantitative risk methodologies framework in compliance with the Regulation, and according to the SIX Group risk policies, procedures and best practices in terms of risk management (?*****%).
What You Will DoDesign, 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 dataIntegrate and manage market data flows from external (e.g., Reuters) and internal providersBuild and maintain automated risk calculation processes supporting Quant teams in productionEnsure 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 continuityDeveloping, calibrating, implementing and reviewing quantitative risk models, stress- and back-tests, scenario analysis to ensure SIX Clearing resilience to adverse market conditionsWhat You BringA minimum of 2-3 years of experience in IT engineering / data platforms / infrastructure, preferably in financial or
regulated environmentsAdvanced 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)Interest in financial sector and quant risk area.
Understanding of in financial data and basic Quant risk concepts and processes will be a plusStrong analytical mindset, reliability under pressure, collaborative and ability to operate in mission-critical environmentsGood communication skills in English and Spanish to interact with international colleagues and stakeholdersIf you have any questions, check out our FAQ page or call Sara Perez de la Cuesta at **************** .

## Description

Select how often (in days) to receive an alert: Create AlertBME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth.We value bright minds and inspire them to grow with their ideas.Come and shape the future of finance with us.Madrid | Working from home up to 40% | Reference ****As an IT Application Analyst 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 ensuring robust, scalable, and high-quality data and infrastructure in a mission-critical environment (?*****%).In addition, it contributes to enhancing the existing quantitative risk methodologies framework in compliance with the Regulation, and according to the SIX Group risk policies, procedures and best practices in terms of risk management (?*****%).What You Will DoDesign, 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 dataIntegrate and manage market data flows from external (e.g., Reuters) and internal providersBuild and maintain automated risk calculation processes supporting Quant teams in productionEnsure 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 continuityDeveloping, calibrating, implementing and reviewing quantitative risk models, stress- and back-tests, scenario analysis to ensure SIX Clearing resilience to adverse market conditionsWhat You BringA minimum of 2-3 years of experience in IT engineering / data platforms / infrastructure, preferably in financial or regulated environmentsAdvanced 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)Interest in financial sector and quant risk area.Understanding of in financial data and basic Quant risk concepts and processes will be a plusStrong analytical mindset, reliability under pressure, collaborative and ability to operate in mission-critical environmentsGood communication skills in English and Spanish to interact with international colleagues and stakeholdersIf you have any questions, check out our FAQ page or call Sara Perez de la Cuesta at **************** .For this vacancy we only accept direct applications in English.Diversity is important to us.Therefore, we are looking to receiving applications regardless of any personal background.What We OfferFlexible Work ModelsWe trust our employees and offer a work environment that is well-balanced, productive and fosters success.Personal DevelopmentYou will benefit from a culture of continuous learning and feedback.Your personal growth is supported through an extensive learning offering.Agile Working MethodsWhether through scrum or design thinking,we solve exciting tasks together in teams.#J-*****-Ljbffr


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