Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm
Deep Learning Researchers/Engineers will use neural networks, transformers, LLMs, multi-modal modelling, modern NLP, agentic research systems, and LLM fine-tuning, backed by major GPU infrastructure. They join a prop trading firm building a brand-new central trading team from scratch, creating a greenfield research stack to redefine alpha generation. The setup uses a pod-like structure with shared capital and collaboration.
Free Tailor for ATS: 10/10 runs left
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.
Alongside the infrastructure investment, what makes this opportunity especially interesting is the level of commitment behind it:
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.
Contact
If you think you're a good match, or would like further information, please contact:
Henry Abbot
+44 (0)
in/henry-abbot