At a Glance
- Tasks: Join a cutting-edge team to redefine alpha generation using advanced quant research and engineering.
- Company: Dynamic prop trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonuses, health reimbursements, and generous vacation time.
- Other info: Opportunity for significant impact and career growth in a non-traditional setup.
- Why this job: Shape the future of trading in a greenfield environment with strong autonomy.
- Qualifications: Experience in NLP, deep learning, and modern quant frameworks preferred.
The predicted salary is between 60000 - 80000 € per year.
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 Quant 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.
If you think you're a good match, or would like further information, please contact: Henry Abbot henry.abbot@oxfordknight.co.uk +44 (0)20 3475 7199 linkedin.com/in/henry-abbot
Quant Researchers / Engineers- Sophisticated Prop Trading Firm in London employer: Oxford Knight
Join a pioneering prop trading firm that champions innovation and collaboration in a dynamic greenfield environment. With a strong commitment to cutting-edge technology and a deep learning-first philosophy, employees enjoy significant autonomy and the chance to shape the future of quantitative research. The firm offers competitive salaries, generous benefits, and a culture that values strategic influence and shared success, making it an exceptional place for talented Quant Researchers and Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researchers / Engineers- Sophisticated Prop Trading Firm in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at prop trading firms. Use LinkedIn to connect and engage with them; you never know who might have an inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving neural networks or NLP. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your approach to deep learning and how you've applied it in real-world scenarios. Practice common quant interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Quant Researchers / Engineers- Sophisticated Prop Trading Firm in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with neural networks, NLP, and deep learning. We want to see how your skills align with the unique demands of this role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our innovative team. Let us know what drives you in the world of quant research.
Showcase Your Projects:If you've worked on any interesting projects related to LLMs or multi-modal modelling, make sure to include them in your application. We love seeing practical examples of your work that demonstrate your ability to think outside traditional frameworks.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Oxford Knight
✨Know Your Stuff
Make sure you brush up on the latest trends in deep learning, NLP, and quant research. Familiarise yourself with neural networks and transformers, as these are key areas for the role. Being able to discuss recent advancements or your own projects will show you're genuinely engaged in the field.
✨Showcase Your Experience
Prepare to talk about your previous work, especially any alpha generation projects or innovative ML applications you've been involved in. Use specific examples that highlight your problem-solving skills and how you've pushed boundaries in traditional quant frameworks.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the firm's approach to building their research stack and how they envision the future of their trading strategies. This shows your interest and helps you gauge if the firm aligns with your career goals.
✨Emphasise Collaboration
Since this role involves working within a pod-like structure, highlight your teamwork and collaboration skills. Share experiences where you've successfully worked in a team to achieve a common goal, especially in high-pressure environments.
