It Application Analyst (Quant Risk)

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 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 Developing, calibrating, implementing and reviewing quantitative risk models, stress- and back-tests, scenario analysis to ensure SIX Clearing resilience to adverse market conditions What You Bring A minimum of 2-3 years of 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) Interest in financial sector and quant risk area.Understanding of in financial data and basic Quant risk concepts and processes will be a plus Strong analytical mindset, reliability under pressure, collaborative and ability to operate in mission-critical environments Good communication skills in English and Spanish to interact with international colleagues and stakeholders What We Offer ~ Hybrid model up to 40% working from home ~37,5 hours/week with flexible schedule and 29+2 holidays ~ Daily meal allowance ~ Additional Medical Insurance for employee and family ~ Pension fund ~ Access to technical and language learning platforms ~ Free parking spots, charger spots and shuttle bus (only for Las Rozas - Madrid location) #J-***-Ljbffr

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 Developing, calibrating, implementing and reviewing quantitative risk models, stress- and back-tests, scenario analysis to ensure SIX Clearing resilience to adverse market conditions What You Bring A minimum of 2-3 years of 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) Interest in financial sector and quant risk area. Understanding of in financial data and basic Quant risk concepts and processes will be a plus Strong analytical mindset, reliability under pressure, collaborative and ability to operate in mission-critical environments Good communication skills in English and Spanish to interact with international colleagues and stakeholders What We Offer ~ Hybrid model up to 40% working from home ~37,5 hours/week with flexible schedule and 29+2 holidays ~ Daily meal allowance ~ Additional Medical Insurance for employee and family ~ Pension fund ~ Access to technical and language learning platforms ~ Free parking spots, charger spots and shuttle bus (only for Las Rozas - Madrid location) #J-*****-Ljbffr