ML/AI Modeller - London
We are seeking a talented and experienced Machine Learning/AI Modeller to join a growing team within the global markets business at a tier-1 hedge fund in London. The team are shaping a greenfield function, designing and deploying innovative quantitative models across trading and distribution.
You will be responsible for the building and production of Machine Learning models across various asset classes, employing advanced Machine Learning and Gen AI techniques, applied mathematics and statistics. You will contribute to the development and implementation of quantitative models and strategies, providing insight into market trends, optimisation of trading decisions, pricing and risk management for a variety of financial products and markets. You will continue the drive in strategic thinking, take a lead on projects, liaise with senior members of the business and lead the approach on strategies.
The ideal candidate will have a minimum of 3 years of experience working in the Machine Learning/AI space, have previous experience leading/mentoring a team, and strong programming skills in Python. Expertise with Natural Language Processing (NLP) and Large Language Models (LLM) is preferred.
Qualifications:
  * Master's degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD is preferred).
  * Minimum of 3 years within the Machine Learning, data science, and software engineering space.
  * Strong programming skills in Python.
  * Proven success and passion for crafting solutions that are both technically rigorous and operationally effective.
  * Have publications or open-source contributions within Machine Learning/AI.
  * Previous experience mentoring team members, managing projects, driving R&D thinking.
  * Excellent problem-solving skills and attention to detail.
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Preferred Qualifications:
  * Experience in quant trading - ideally e-trading or alpha research.
  * Natural Language Processing (NLP) and Large Language Models (LLM) expertise.
  * Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.
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