Machine Learning Quant Engineer - Investment banking
London, United Kingdom
Harvey Nash
Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in ML or quantitative finance Please apply within More ❯
Employment Type: Contract
Rate: £1000/day
Posted: