Deep Learning Researcher – HFT Prop-Firm

J.K. Barnes; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading HFT/prop trading firm in London seeks a Deep Learning Researcher to drive original AI research and enhance trading strategies. The ideal candidate will have a PhD, proven publication record, and a strong background in machine learning. This collaborative environment offers significant opportunities for impact and competitive compensation.

Qualifications

• PhD in any STEM field, preferably Computer Science.
• Publications in top AI conferences (e.g., ICML, NeurIPS).
• 3 first-authored papers in the last 3 years.

Responsibilities

• Develop original AI research.
• Collaborate with Quantitative Researchers on trading signals.
• Mentor junior team members.

Skills

Machine Learning Techniques

Python

C++

AI Research

Collaboration

Education

PhD in STEM field (Computer Science is a plus)

Job description

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Deep Learning Researcher – HFT Prop-Firm, London

Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

Job Reference:

7231f084d959

Job Views:

5

Posted:

02.06.2025

Expiry Date:

17.07.2025

Job Description:

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 market share in options, crypto, and futures. The team has outstanding research talent (IMO/IMC, ICPC, and Kaggle Grandmaster backgrounds). The setup is collaborative, with distribution across asset classes.

We seek a Deep-Learning researcher with academic or industrial experience in developing and experimenting with modern deep-learning architectures and original research in AI. The team is open to competitive offers for the right candidate.

Requirements:

• PhD in any STEM field (Computer Science is a plus)
• Publications in top AI conferences (ICML, ICLR, NeurIPS, AAAI, UAI, KDD)
• At least 3 first-authored papers in the past 3 years
• Experience with ML techniques and building ML pipelines for various streams
• Proficient in Python; C++ knowledge is a plus
• Competitive background (Kaggle, IMO, IMC, ICPC) is a strong plus

Responsibilities:

• Developing original AI research
• Collaborating with Quantitative Researchers to improve trading signals
• Using AI models for arbitrage strategies
• Analyzing large amounts of unstructured data
• Designing features and contributing to research pipelines
• Leading and mentoring junior team members