ML Researcher: Build Next-Gen Trading Models

Tradermath; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Jane Street is seeking smart and curious individuals to join its growing ML team to build deep learning models powering its trading strategies, supported by a massive GPU cluster. You will work on large models and nonstationary datasets in a high-performance, multi-agent environment.

You'll apply a wide range of techniques from LLMs, image models, RL, or classical ML to shape the future of ML at Jane Street, train models for next-generation strategies, and contribute by hiring colleagues,

Qualifications

• Practical experience working on empirical ML problems.
• The ability to apply logical and mathematical thinking to all kinds of problems.
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains.
• Fluency with a versatile set of models and tricks.
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework.
• An eagerness to ask questions, admit mistakes and learn new things.
• Fluency in English.

Responsibilities

• Train models for the next generation of trading strategies.
• Build the fundamental understanding needed to tackle new markets and situations.
• Hire new colleagues, attend conferences and teach techniques to teammates.

Skills

Practical ML experience

Logical/mathematical thinking

Intellectual curiosity

Versatile ML models

Python programming

ML framework proficiency

English fluency

Tools

Python

Job description

Jane Street is seeking smart and curious individuals to join its growing ML team to build deep learning models powering its trading strategies, supported by a massive GPU cluster. You will work on large models and nonstationary datasets in a high-performance, multi-agent environment.

You'll apply a wide range of techniques from LLMs, image models, RL, or classical ML to shape the future of ML at Jane Street, train models for next-generation strategies, and contribute by hiring colleagues,