Quantitative Researcher – Machine Learning

Overview

In this role you will translate cutting-edge ML insights into production-ready solutions that support forecasting and trading across asset classes. You will design, deploy, and scale ML models and pipelines to handle high-dimensional, noisy data, partnering with cross-functional teams. Exceptional ML talent from tech, startups, or academia. This position offers the chance to influence trading strategies and risk management through robust, scalable machine learning.

Responsibilities

• Research, design, and deploy robust ML models
• Build and maintain scalable, production-level ML pipelines
• Extract signals from large, noisy, real-world datasets

Key requirements

• PhD in ML, Computer Science, or related field
• Deep theoretical and practical knowledge of core ML algorithms; comfortable with architectures, feature engineering, and hyperparameter tuning
• Proven experience taking ML models from research to live production
• Experience in applying ML to financial markets is desirable; exceptional candidates from tech/startups/academia considered

• curiosity
• autonomy
• adaptability
• transformer-based architectures
• state-of-the-art ML frameworks
• production-level ML pipelines

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