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- Tasks: Develop and execute innovative trading strategies in the DeFi market.
- Company: Dynamic quantitative trading firm focused on crypto and DeFi.
- Benefits: Collaborative environment, real capital for trading, and global travel opportunities.
- Other info: Be part of a tight-knit team that values debate and innovation.
- Why this job: Join a team of intellectuals and shape the future of DeFi trading.
- Qualifications: Strong understanding of DeFi, quantitative skills, and proficiency in Python.
The predicted salary is between 60000 - 80000 £ per year.
For those who see the mempool as a chessboard and haven't lost a game they care about yet. We are representing a quantitative trading firm operating across crypto markets and their DeFi desk is where the serious work happens. Their reputation has been built on being early, rigorous, and relentlessly curious about where the market is inefficient, mispriced, or simply hasn't caught up with them yet. They're not looking for someone to run BAU. They're looking for someone who writes a new playbook and then argues, convincingly, for why the old ones were wrong.
What You'll Actually Be Doing
- Developing and executing quantitative trading strategies in DeFi markets
- Identifying and exploiting market inefficiencies: arbitrage, MEV, liquidity provision, basis trades
- Building the infrastructure that supports your strategies: from execution scripts to monitoring dashboards to that one crucial on-chain listener that runs at 3am.
- Collaborating closely with a lean, highly skilled team. This will look like debating assumptions, stress-testing models, and occasionally being wrong in interesting ways.
- Staying genuinely ahead of the curve: tracking protocol upgrades, governance proposals, liquidity shifts and new primitives
- Contributing to the team's broader research culture. You'll be sharing ideas freely, citing your sources, and never hoarding signal.
What They're Looking For
- Deep, hands-on understanding of DeFi mechanics beyond surface-level familiarity. The knowledge that comes from having lost money to a liquidation cascade for example.
- Strong quantitative foundation: statistics, probability, financial modelling, and the intellectual honesty to know when your model is lying to you.
- Proficiency in Python (or Rust/C++ if you want bonus points and a knowing nod from the engineering team).
- Experience in systematic or algorithmic trading specifically in DeFi
- Ability to operate with autonomy. They'll point you at the right problems; they expect you to find the right answers.
What You Get in Return
- Seriously intellectual colleagues: A tight-knit DeFi team that reads papers, argues about mechanism design, and doesn't tolerate bullshit — including their own.
- A base at their office in London, with frequent opportunities for inter-office travel globally.
- Real capital and real risk: they trade with conviction. If your strategy is good, you can expect them to rally around that with technical support and further capital.
- Early access to the right type of tough problems: they're building toward being the dominant force in DeFi trading. Joining now means you help shape the direction and own a real piece of their upside.
Quantitative Trader in Slough employer: QNT Partners
Contact Detail:
QNT Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader in Slough
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the DeFi space. Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that dream role as a Quantitative Trader.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative trading strategies or any projects you've worked on. This is your chance to demonstrate your hands-on understanding of DeFi mechanics and your proficiency in Python or other relevant languages.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of market inefficiencies and be ready to discuss your thought process behind your strategies. They want to see how you think, so don’t hold back on sharing your insights and experiences.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who are eager to contribute to our DeFi desk. Don’t just send in your CV; let us know why you’re the perfect fit for writing a new playbook in the world of algorithmic trading.
We think you need these skills to ace Quantitative Trader in Slough
Some tips for your application 🫡
Show Your Passion for DeFi: When you're writing your application, let your enthusiasm for DeFi shine through. We want to see that you’re not just familiar with the basics but have a deep understanding of the mechanics and nuances of the space. Share any personal experiences or insights that demonstrate your genuine interest!
Highlight Your Quant Skills: Make sure to showcase your quantitative skills clearly. Whether it's statistics, probability, or financial modelling, we want to know how you've applied these in real-world scenarios. Use specific examples to illustrate your expertise and how it relates to algorithmic trading.
Be Authentic and Honest: We value intellectual honesty, so don’t shy away from discussing your failures or what you've learned from them. If you've had a tough lesson in trading, share it! It shows us that you can reflect on your experiences and grow from them, which is crucial in our fast-paced environment.
Apply Through Our Website: Finally, make sure to apply 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 gives you a chance to explore more about our culture and what we stand for before you hit 'send'.
How to prepare for a job interview at QNT Partners
✨Know Your DeFi Inside Out
Make sure you have a deep understanding of DeFi mechanics. Brush up on your knowledge of market inefficiencies, arbitrage opportunities, and the latest protocol upgrades. Be ready to discuss your past experiences, especially any lessons learned from mistakes like liquidation cascades.
✨Show Off Your Quant Skills
Prepare to demonstrate your quantitative foundation. Be ready to talk about statistics, probability, and financial modelling. If you can, bring examples of models you've built or strategies you've executed, and be honest about their successes and failures.
✨Get Comfortable with Python (or More)
If you're proficient in Python, great! But if you know Rust or C++, that's even better. Be prepared to discuss your coding experience and how you've used it to build trading infrastructure or execute strategies. Maybe even share snippets of code if the conversation allows!
✨Be Ready to Debate and Collaborate
This firm values collaboration and intellectual honesty. Prepare to engage in discussions about your assumptions and models. Show that you're open to feedback and can argue convincingly for your ideas while also being willing to adapt when proven wrong.