ML Researcher / Modeling Quant

We are hiring an ML Researcher / Modeling Quant to accelerate the process of turning research into production-ready models. This role is about speed, precision, and teamwork—designing, training, and optimizing predictive models under real trading constraints. You’ll be the bridge between alpha discovery and execution, ensuring our signal library is transformed into strategies that can run stably and efficiently at scale.

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, optimizing inference speed, and scaling training workflows.
• Own and maintain robust, automated ML pipelines for feature generation, training, retraining, and deployment—built to handle real-time market conditions.
• Collaborate tightly with alpha researchers, data engineers, and execution quants to ensure end-to-end integration of models.
• Anticipate and mitigate risks like overfitting, data leakage, and model drift before they impact performance.

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.
• Strong collaborator who communicates clearly across teams and moves fast without sacrificing quality.
• Proactive, self-motivated, and committed to execution speed and reliability.

Additional Information

What we offer:

• Experience a modern international technology company without the burden of bureaucracy.

• Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more.

• Enjoy excellent opportunities for professional growth and self-realization.

• Work remotely from anywhere in the world with a flexible schedule.

• Receive compensation for health insurance, sports activities, and non-professional training.