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Deep Learning Researcher – HFT Prop-Firm
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J.K. Barnes
Deep Learning Researcher – HFT Prop-Firm

Deep Learning Researcher – HFT Prop-Firm

London Full-Time No home office possible
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My client is an HFT/prop trading house built by an American mathematician from scratch for 200 individuals over the last 15 years. The company is a fully automated trading platform with a significant turnover market share in options, crypto, and futures. The team has outstanding research talent (IMO/IMC, ICPC, and Kaggle Grandmaster backgrounds). The setup is thoroughly collaborative, with distribution between asset classes.

We seek a Deep-Learning researcher with comprehensive academic or industrial experience in developing and experimenting with modern deep-learning architectures and original research in the AI field. The team is open to outbidding any available offers and remuneration expectations for the right person.

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
    • J

    Contact Detail:

    J.K. Barnes Recruiting Team

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    Deep Learning Researcher – HFT Prop-Firm
    J.K. Barnes
    Location: London
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