ML Researcher

A company is looking for a ML Researcher / Modeling Quant to accelerate the process of turning research into production-ready models.

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

Evaluate and improve existing production models by refining parameterization and optimizing inference speed

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