Select how often (in days) to receive an alert: Create Alert

La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.
BME - 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 integral 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 8226

Are you interested in the intersection of financial markets, risk management, and data engineering? Do you enjoy building scalable data solutions and automated processes that enable risk-informed decision-making? If so, this role offers the opportunity to contribute directly to group-wide risk management at the core of the organization.




The Risk Methodology & Reporting unit plays a central role in shaping the global risk framework and advancing the risk data infrastructure. The team develops and operates the risk data platform and delivers high-quality, decision-relevant reporting to senior management and external stakeholders. We offer an attractive Microsoft Azure and Databricks-based technology stack, providing opportunities to work with modern data engineering frameworks, scalable cloud architectures, and the latest AI technologies.
In this role, you will work with a team of highly motivated, self-driven specialists at the crossroads of risk analytics, financial market infrastructures, and state-of-the-art IT systems.

What You Will Do

-
- Develop and enhance the Group's risk data platform, data pipelines, and reporting capabilities.
- Translate complex risk data into decision-relevant insights and dashboards
- Drive automation and scalability of risk data processing and analytics workflows
- Act as a key interface between R

📌 Risk Data (Madrid)
🏢 Six Group Services
📍 Madrid