AI Research Scientist - New York- Global Quant Firm

Salary: up to 200k + 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

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

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

Andy Stirling-Martin
[email protected]
+44 (0)20 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946