Risk Data & Analytics Engineer
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Role details
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Job description
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.
Does it sound interesting for you? Don’t hesitate and apply now with your CV in English.
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 Risk, IT, and Business functions to deliver data-driven solutions Take ownership of selected areas and drive the further development of group-wide risk analytics capabilities Design and enhance data pipelines, automate risk data processes, and support the delivery of reliable risk information for decision-making
Requirements
Degree in Economics, Finance, Data Science, or a related field, with relevant professional experience in risk management, data engineering & analytics, or financial services Strong ability to structure and communicate complex topics for senior stakeholders, with a self-driven working style and a high level of ownership and accountability Proven +4 years of hands-on experience with data engineering & analytics tools (e.g., SQL, Python, Spark, PowerBI); experience with Databricks and MS Azure is a strong plus Conceptual strength with the ability to link analytical results to business and risk implications Fluent English, both written and spoken; Spanish and/or German are an advantage
Benefits & conditions
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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.
About the company
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 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.
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