Machine Learning Engineer

## About the role We're looking for a Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering. As our first dedicated ML hire, you'll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products. This role will see you combine hands-on model development and software engineering, and collaborate with a high-performing team of Quant Researchers and Developers as well as other cross-functional departments. ## Responsibilities - Design, develop, and deploy machine learning models to enhance TradingHub's market surveillance and analytics platform - Contribute to the development of advanced metrics used to analyse trader behaviour, order execution and potential market abuse scenarios - Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives - Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows - Collaborate closely with quantitative developers, data engineers, and product teams to productionise models into scalable, high-performance systems ## Requirements - Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) - Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning - Industry experience using Large Language Models (LLMs) to deliver commercial value - Experience building data pipelines and performing feature engineering on real-world datasets - Strong problem-solving skills and attention to detail - Good understanding of SQL and working with complex datasets - Keen interest in financial markets e.g. pricing, trading, fixed income ## About the company Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.