Deep Learning Researcher – HFT Prop-Firm

🔒 Confidential Employer
Posted 14 August 2025
LOCATION
Multiple UK Locations
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Deep Learning Python ML pipelines A Conferences Publications Feature designing Artificial Intelligence C++

FULL DESCRIPTION

Summary

A Deep-Learning researcher is sought by an HFT/prop trading house. The role involves developing and experimenting with deep-learning architectures, conducting original research in AI, and collaborating with quantitative researchers. Candidates should have a PhD in a STEM field, publications in A Conferences, and experience with ML techniques, and proficiency in Python. The company offers a collaborative environment and competitive compensation.

Key Responsibilities/Duties

  • Building out original research in artificial intelligence space.
  • Collaborate with Quantitative Researchers in improving signals in HFT side of the business.
  • Using AI models in developing and deploying arbitrage strategies.
  • Analysing and wrangling with huge amount of unstructured data.
  • Feature designing and contribution to the research pipeline.
  • Leading and mentoring junior team members.

Core Requirements/Qualifications/Skills

  • PhD in any STEM field (Computer Science is a plus).
  • Scientific publications in A Conferences (ICML, ICLR, NeurIPS, AAAI, UAI, KDD)
  • At least 3 first-authored papers in the past 3 years
  • Experience using ML techniques, knowledge of building out ML pipelines running for different streams.
  • Proficient in Python. C++ will be an advantage but not a pre-requisite.
  • Competition background is a strong plus (Kaggle / IMO / IMC / ICPC).

Requirements:

  • PhD in any STEM field (Computer Science is a plus).
  • Scientific publications in A Conferences (ICML, ICLR, NeurIPS, AAAI, UAI, KDD)
  • At least 3 first-authored papers in the past 3 years
  • Experience using ML techniques, knowledge of building out ML pipelines running for different streams.
  • Proficient in Python. C++ will be an advantage but not a pre-requisite.
  • Competition background is a strong plus (Kaggle / IMO / IMC / ICPC).

Responsibilities:

  • Building out original research in artificial intelligence space.
  • Collaborate with Quantitative Researchers in improving signals in HFT side of the business.
  • Using AI models in developing and deploying arbitrage strategies.
  • Analysing and wrangling with huge amount of unstructured data.
  • Feature designing and contribution to the research pipeline.
  • Leading and mentoring junior team members.
  • CQF preferred

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