Global Financial Services Firm is hiring for a Quantitative Developer who has worked within Trade Surveillance. This is a permanent role and working on a hybrid basis.Responsibilities include: Design and develop quantitative models and algorithms for trade surveillance systems to detect market abuse and ensure regulatory compliance. Implement algorithms using either, Python / R / Matlab Collaborate with Business Analysts to integrate models into surveillance systems Backtesting and performance monitoring Develop data visualization tools for surveillance dashboards Liaise with Data Scientists to refine machine learning modelsSkills and Experience: Between 2-4 years in Quant Development / Risk Management / Modeling Strong understanding of Financial Markets particularly Trading Platforms and Financial Products Experience with quantitative libraries - NumPy, Pandas, SciPy Strong programming skills in Python, Matlab, R Machine Learning Frameworks - TensorFlow, PyTorchPlease apply for immediate interview!CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.