Machine Learning Quantitative Researcher

Base pay range $200,000.00/yr - $300,000.00/yr About the role A leading proprietary trading firm is seeking a Machine Learning Quantitative Researcher to join its systematic trading team. In this role, you’ll design and deploy advanced machine learning models — from NLP-driven signals to graph-based time series models — with the goal of generating alpha in global equities and futures markets. This is an outstanding opportunity to apply your research at scale, working with world-class researchers, traders, and engineers in a fast-paced, collaborative environment where your models directly impact trading performance. Key responsibilities Research, design, and implement novel trading signals using machine learning, NLP, and deep learning . Conduct large-scale data analysis, backtesting, and scenario simulations to validate robustness and stability. Build production-grade ML pipelines , including retraining, drift detection, and real-time monitoring. Apply advanced architectures such as transformers, attention models, and graph neural networks to financial time series and cross-asset datasets. Collaborate with engineering and trading teams to optimize infrastructure and ensure seamless execution. Requirements Minimum 3 years of experience applying machine learning in systematic trading, alpha signal generation, or predictive modeling. Advanced degree (PhD or Master’s) in a quantitative or technical discipline (statistics, mathematics, computer science, engineering, physics). Strong programming expertise in Python and C++ , with proven ability to productionize models. Experience with transformers, reinforcement learning, or GNNs applied to time series/financial data. Solid understanding of market microstructure and intraday trading dynamics. Excellent problem-solving skills and the ability to thrive in a collaborative, high-performance environment. What’s on offer The chance to apply state-of-the-art machine learning research directly to live trading strategies. Highly competitive compensation with performance-based bonuses. An intellectually challenging, collaborative culture where innovation directly drives results. Seniority level Mid-Senior level Employment type Full-time Job function Research and Engineering Industries Financial Services and Capital Markets #J-18808-Ljbffr