Machine Learning Quant Engineer - Investment banking/ XVA

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. Inside IR35, 4 days a week on site The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial innovation.Your RoleDesign, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk managementLead ML research initiatives and contribute to long-term modeling strategy across asset classesArchitect robust data pipelines and scalable model infrastructure for production deploymentMentor junior quants and engineers; contribute to knowledge-sharing and model governance processesStay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial marketsCollaborate closely with cross-functional teams, including traders, data engineers, and software developersWhat We''re Looking ForRequired:7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firmAdvanced degree (PhD or Master''s) in Computer Science, Mathematics, Physics, Engineering, or related disciplineStrong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RLExpert-level programming skills in ..... full job details .....