At a Glance
- Tasks: Enhance high-frequency trading strategies and develop machine learning algorithms.
- Company: Join Wintermute, a leading crypto algorithmic trading firm with a vibrant culture.
- Benefits: Accelerated responsibilities, engaging projects, and a fun office environment in central London.
- Other info: Enjoy team meals, gaming events, and a collaborative startup vibe.
- Why this job: Make a real impact in the innovative world of digital assets and blockchain technology.
- Qualifications: Strong quantitative skills, advanced Python coding, and a passion for trading.
The predicted salary is between 36000 - 60000 £ per year.
About Wintermute
Wintermute is one of the largest crypto native algorithmic trading companies in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute, digital assets is not just another asset class; we believe in the innovative potential of blockchain and have a long-term view on the digital asset market.
Working at Wintermute
We are looking for a Graduate Quant Researcher, starting Summer 2026. The ideal candidate would have strong quantitative and coding skills (Python). At Wintermute, you will be responsible for scaling and bringing our quantitative business to the next level. You will have the opportunity to cover all technologies (CeFi, DeFi), trading platforms and products (spot, derivatives, ETPs, etc.). You will work with other researchers, traders and developers to build trading strategies and improve existing algorithmic trading activities. Our experienced traders and developers will be on hand to provide advice and guidance, including the founders and management team. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed. No legacy systems, no corporate bureaucracy, it is up to you to make an impact.
Responsibilities
- Assist with improving our high-frequency trading strategies.
- Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes.
- Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies.
- Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets.
- Run simulations and model market for both liquid and illiquid assets.
- Improve and maintain supporting infrastructure in Python.
Hard Skills Requirements
- Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required.
- Advanced Python coding skills.
- Experience and advanced knowledge of statistics/probability theory.
- Machine Learning experience.
Quant Trader Track
- Experience in market making, including signal design and HFT/MFT strategy.
Quant Research Track
- Experience in developing machine learning algorithms, building automated pipelines for recalibration and testing, implementing version control systems, and visualising the training process.
Nice to Have Requirements
- Experience in market making, including signal design and HFT strategy development. We are also open to candidates with experience in MFT strategies.
- Proven track record of winning global math, Kaggle, and programming competitions.
- High level understanding of C++.
- Deep understanding of Machine Learning.
Here is why you should join our dynamic team
- Opportunity to work at one of the world's leading algorithmic trading firms.
- Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments.
- A vibrant working culture with team meals, festive celebrations, gaming events and company wide team building events.
- A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalised desk configurations, a cozy team breakout area with games.
- Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial.
Graduate Quant Researcher 2026 in London employer: TargetJobs UK
Wintermute is an exceptional employer for aspiring Graduate Quant Researchers, offering a unique blend of high-frequency trading expertise and the innovative spirit of a tech startup. Located in central London, our vibrant office fosters a collaborative and informal culture, providing accelerated responsibilities and ownership in engaging projects. With access to experienced traders and developers, as well as a focus on employee growth through hands-on learning, Wintermute is the ideal place for those looking to make a meaningful impact in the dynamic world of digital assets.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Quant Researcher 2026 in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the crypto and trading space. Attend meetups, webinars, or even just chat with folks on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative projects, coding skills, or any machine learning models you've built. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you think, not just the final answer!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, don’t hesitate – get your application in and let’s make some waves together!
We think you need these skills to ace Graduate Quant Researcher 2026 in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your quantitative and coding skills, especially in Python. We want to see how you can apply these skills to real-world problems, so don’t hold back on showcasing your projects or any relevant experience!
Tailor Your Application:Take a moment to customise your application for the Graduate Quant Researcher role. Mention specific experiences that relate to high-frequency trading, machine learning, or any relevant competitions you've participated in. This shows us you're genuinely interested in the position!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's necessary, and make sure your passion for the role shines through!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at TargetJobs UK
✨Know Your Quant Skills
Make sure you brush up on your quantitative skills and Python coding before the interview. Be ready to discuss specific projects or coursework where you've applied statistical techniques or machine learning. This will show that you not only understand the theory but can also apply it practically.
✨Understand the Market
Familiarise yourself with the current trends in the crypto market, especially around high-frequency trading and algorithmic strategies. Being able to discuss recent developments or innovations in the space will demonstrate your genuine interest and knowledge about Wintermute's operations.
✨Prepare for Technical Questions
Expect technical questions that may involve coding challenges or problem-solving scenarios related to trading strategies. Practise coding in Python and be prepared to explain your thought process clearly. This is your chance to showcase your analytical skills and how you approach complex problems.
✨Show Your Passion for Innovation
Wintermute values an entrepreneurial spirit, so be ready to share your ideas on how to improve trading strategies or identify new opportunities. Discuss any personal projects or competitions you've participated in that relate to algorithmic trading or machine learning, as this will highlight your proactive attitude and creativity.
