Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm

eFinancialCareers; Greater London; Hybrid; GBP 125,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Discretionary bonuses

Health & wellness benefits

Donation matching

Paid vacation

Job summary

eFinancialCareers is seeking exceptional Deep Learning Researchers and Engineers to help build a brand-new central trading team. You will work in a greenfield environment with autonomy to shape direction from an early stage, focusing on neural networks, transformers, and LLM-driven research for multi-modal modelling.

The role emphasises research leadership within a non-traditional quant setup, offering competitive compensation and a generous benefits package.

Qualifications

• Experience in applying deep learning to financial data
• Proven track record with NLP techniques for markets
• Strong background in modern DL architectures

Responsibilities

• Build a greenfield ML research stack from scratch
• Develop alpha-generating models with a focus on NLP/LLM approaches
• Collaborate across teams to implement scalable, real-time trading research systems

Skills

Deep learning

NLP for markets

Transformers

Tools

GPUs

Distributed computing

Job description

Unique opportunity to join this hugely successful prop trading firm as they scale significantly, building out a brand-new central trading team.

With major investment in GPUs and compute infrastructure, the aim is to build from scratch a best-in-class platform, redefining how alpha is generated. To do this, they're looking for exceptional Deep Learning Researchers and Engineers to sit within a pod-like structure - but with much more shared capital, strategic influence and collaboration across a centralised book.

What makes this opportunity especially interesting:

• Greenfield environment with the opportunity to build the research stack from scratch
• Strong autonomy and ability to shape direction from an early stage
• Deep learning-first philosophy across research and modelling

This is a non-traditional, non-linear quant setup, where the focus is heavily towards:

• Neural networks
• Transformers
• LLM-driven research
• Multi-modal modelling
• Modern NLP and agentic/autonomous research systems
• LLM fine-tuning, including regression and forecasting applications

Strong preference for the following experience:

• Alpha generators from top-tier firms
• Strong background in:
  • NLP applied to markets
  • Modern deep learning

They are particularly interested in

• People who think beyond traditional quant frameworks
• Experience at the frontier of ML research - whether from industry, academia or highly independent/self-directed work

Benefits

• Competitive salary and discretionary bonuses
• Generous benefits package including reimbursement for health & wellness expenses, donation matching program, significant paid vacation allowance

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.