ML Researcher

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