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A leading financial institution in London seeks a Quantitative Engineer to develop models for anomaly detection in trading environments. This role emphasizes stakeholder engagement, technical integration of data sources, and robust model implementation. Candidates should possess strong programming skills in Python and experience in data science within financial markets. The company offers a hybrid work model, competitive salary, and various employee benefits including a non-contributory pension and health insurance.