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Wintermute | London, United Kingdom | $72k - $99k | |||
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Graduate Quant Researcher 2026
London
Trading /
Full-time /
On-site
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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, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
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 visualizing 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, personalized 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.
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What does a Quantitative Researcher do?
A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling
They typically work in the financial industry, including investment banks, hedge funds, and asset management firms
The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions
A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications
They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies
Some specific tasks that a Quantitative Researcher may be responsible for include:
- Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
- Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
- Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
- Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.