Research Engineer

Tech Stack

Responsibilities

• Develop high-throughput, scalable research platforms focusing on data, ML pipelines, and back testing.
• Contribute to the development and deployment of deep learning models into production.
• Guide tooling to facilitate unconstrained experimentation at a large scale and generalize it across asset classes, horizons, and trading strategies.
• Collaborate with quantitative researchers and traders to investigate and evaluate research ideas and develop scientific libraries.
• Evaluate, roll out, and optimize third-party tooling such as MLflow, Neptune, and Ray.

Soft Skills

Benefits

• Paid Leave
• Health Insurance

Culture

Requirements