ML Researcher

Job Summary

A company is looking for an ML Researcher / Modeling Quant.

Key Responsibilities

• Research, develop, and rapidly prototype advanced ML models to drive strategy performance across liquid markets
• Design and optimize deep learning architectures that translate signals and features into actionable strategies
• Own and maintain robust, automated ML pipelines for feature generation, training, retraining, and deployment built to handle real-time market conditions

Qualifications

• Master's or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution
• 5+ years of hands-on ML modeling experience, ideally within trading, fintech, or similarly time-critical domains
• Expertise in modern ML techniques (Deep Learning, Reinforcement Learning, LLMs) with a focus on practical deployment
• Advanced coding proficiency in Python and/or C++ with mastery of ML frameworks (PyTorch, TensorFlow)
• Demonstrated ability to deploy models in production under latency-sensitive conditions