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鈥攄esigning, training, and optimizing predictive models under real trading constraints. You鈥檒l 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鈥攂uilt 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.