At a Glance
- Tasks: Join a cutting-edge team to develop deep learning models for quant trading.
- Company: Fast-growing prop trading firm with a focus on innovation.
- Benefits: Generous benefits package and strong autonomy in your role.
- Other info: Exciting opportunity to work in a dynamic, collaborative environment.
- Why this job: Shape the future of trading with advanced ML research and LLMs.
- Qualifications: Experience in deep learning and NLP, with a passion for finance.
The predicted salary is between 60000 - 80000 £ per year.
Oxford Knight in London is seeking Deep Learning Researchers and Engineers to join a greenfield, central trading research team in a fast-growing prop trading firm.
You will work in a pod-like structure with significant capital and direction, focusing on transformers, LLM-driven research and modern NLP for market applications.
The role offers strong autonomy to shape the research stack from scratch, with a forward-looking ML research agenda and generous benefits in a competitive package.
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Deep Learning Research Engineer for Quant Trading (LLMs) employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
