Collaborate with data and engineering teams to establish reliable data pipelines and ensure high data quality and consistency. * Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Mathematics, or a similar technical field. 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. * Act as a key interface between risk methodology, data, and technology teams. * 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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