Salary: up to $250k bonus

Summary

Leading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities in complex and challenging domains. You will join a growing AI team combining emerging techniques and models with original research to generate signals from unstructured data.

In this role, you'll need to be capable of leading an open-ended research project from concept to production. This will include finding compelling problems well-suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements & constraints, and continuously improving model design, tools, and infrastructure. Projects may include any area of the quant research process with the potential from business-wide application.

Requirements

• Minimum 5 years' demonstrable experience creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures, e.g. transformers, SSMs
• Solid development skills in Python and/or C
• Familiarity with ML libraries/frameworks, e.g. PyTorch (preferred), TensorFlow, and/or JAX
• Ability to reason through quantitative problems and communicate effectively with trading researchers

Desirable

• Experience with: HPC and distributed large model training; GPU performance optimization; or end-to-end model development, particularly in LLMs

NB Please don't apply if you're a fresh graduate.

Benefits

• Competitive base salary & discretionary bonus
• Enormous opportunity to grow, learn and have an impact
• Contributions are rewarded; career progression supported
• Generous benefits package including medical & dental insurance, paid parental leave, and wellness programs

Contact
If this sounds like you, or you'd like to know more, please get in touch.

Andy Stirling-Martin

44 (0)20 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946