Machine Learning Engineer
Core
Design, develop, and deploy machine learning models to enhance TradingHub's market surveillance and analytics platform for financial institutions.
Role type
Machine Learning Engineer (LLM/NLP focus)
Builds
Trade surveillance software and advanced metrics for detecting market manipulation
Domain
Financial Services / Quantitative Analytics
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, Large Language Models (LLMs), NLP, SQL, feature engineering, statistical techniques
Preferred skills
Reinforcement learning, deep learning, linear regression, experience with real-world financial datasets
Technologies
PyTorch, TensorFlow, scikit-learn
Responsibilities
Design and deploy ML models for market surveillance; Contribute to advanced metrics for trader behavior analysis; Apply ML techniques to large-scale financial datasets; Leverage LLMs to extract insights from unstructured data; Collaborate with quantitative developers to productionize models
Seniority
Individual Contributor