Quantitative Researcher - Machine Learning

What you'll do

• Manage the research process, including ideation, method selection, implementation, evaluation, and application.
• Adapt or extend machine-learning models and conduct novel research to develop trading signals or predict other variables.
• Track AI/ML advances and recommend models and tools or identify emerging opportunities.

What they ask for

• Strong analytical and quantitative skills and attention to detail.
• Proficiency in machine-learning libraries such as Torch, JAX, or TensorFlow.
• Competence in Python, cluster environments, and software-engineering practices such as source control, testing, and collaborative workflows.
• Strong written and verbal communication skills and commitment to high ethical standards.

Nice to have

• Master’s or PhD in machine learning, computer science, statistics, or a related field.
• Research using machine learning on large, potentially noisy datasets; knowledge of modern sequence models, graph neural nets, reinforcement learning, or LLMs.

Tools

Torch, JAX, TensorFlow, Python

AI focus

Develops machine-learning-driven equity trading signals and applies AI/ML research to proprietary datasets; tracks advances and recommends models and tools.