It Application Analyst (Quant Risk)

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 If you have any questions, check out our 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 Offer Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success.Personal Development You will benefit from a culture of continuous learning and feedback.Your personal growth is supported through an extensive learning offering.Agile Working Methods Whether through scrum or design thinking, we solve exciting tasks together in teams.

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 If you have any questions, check out our or call Sara Perez de la Cuesta at.