Machine Learning Engineer
Core
Design, develop, and deploy machine learning models to enhance TradingHub's market surveillance and analytics platform, specifically using LLM and NLP techniques to analyze complex financial data and detect market abuse.
Role type
Machine Learning Engineer (Financial Surveillance)
Builds
Production ML models and advanced metrics for trade surveillance and analytics
Domain
Financial services / Trade surveillance
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, Large Language Models (LLMs), NLP, SQL, feature engineering, data pipelines
Preferred skills
Reinforcement learning, deep learning, linear regression, financial markets knowledge (pricing, trading, fixed income)
Technologies
PyTorch, TensorFlow, scikit-learn
Responsibilities
Design, develop, and deploy machine learning models; Contribute to the development of advanced metrics for trader behavior analysis; Apply ML techniques to large-scale financial datasets; Leverage LLM and NLP models to extract insights from unstructured data; Collaborate with quantitative developers to productionise models
Seniority
Individual Contributor (First dedicated ML hire)