In this role, you will take ownership of implementing risk methodologies in Python, enhancing our internal risk tooling, and driving automation and data quality across risk processes. As Risk Data & Analytics Engineer, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. * Collaborate with data and engineering teams to establish reliable data pipelines and ensure high data quality and consistency. * Act as a key interface between risk methodology, data, and technology teams. * Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Mathematics, or a similar technical field. * Experience in building and maintaining data-driven applications or analytical systems in Python. * Experience working in environments where data quality, traceability, and robustness are critical.
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