Machine Learning Researcher, Wintermute
More information about location
3-5 days a week in office (Central London)
Algorithmic trading firm in digital assets
Posted today
Algorithmic trading firm in digital assets
21-100 employees
Posted today
More information about location
3-5 days a week in office (Central London)
21-100 employees
Company mission
To enable, empower and advance the truly decentralized world for more transparent, fair and efficient markets and products.
Role
Who you are
- You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data
- Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline
- Strong programming skills in Python and familiarity with ML libraries
- Proven track record applying ML/DL to real-world problems
- Familiarity with time-series modeling, signal extraction, or high-frequency data
- Experience in developing ML infrastructure (data pipelines, experiment tracking, versioning)
Desirable
- Experience in finance, trading, or quantitative research (not required)
- Publications, competition results (e.g., Kaggle, academic ML contests), or open-source contributions
- Familiarity with C++, CUDA, or low-latency systems
What the job involves
- You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams
- Develop ML-based alpha generation models using high-frequency order book and market microstructure data
- Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data
- Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction
- Collaborate with quant researchers and developers to integrate models into live trading environments
- Optimise inference latency and robustness; ensure models behave safely under live market conditions
- Continuously refine model quality through systematic backtesting, live evaluation, and monitoring
Salary benchmarks
Our take
Recent developments in mobile applications and financial tech have resulted in increased demand for digital assets such as cryptocurrencies, and this growing demand is putting pressure on traditional market makers. Ultimately, the increased scale and complexity of the new digital asset landscape has exposed inefficiencies in existing liquidity providers.
Wintermute uses an algorithmic approach to provide market-making services that facilitate digital asset liquidity with long-term scaling and efficiency in mind. The company currently provides its market-making services to over 50 centralized and decentralized trading platforms, including Binance, Coinbase, and Kraken.
The company has taken a unique approach towards market making by operating with the assumption that digital asset markets are only going to get bigger and more complex. By streamlining the market making process with algorithmic automation and thus optimizing efficiency, Wintermute presents itself as a future-proof solution for the rapidly scaling digital asset industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Employee endorsements
Nice people
"Very nice, motivated colleagues. Culture is strong, activities such as events and even an annual outing allows you to connect and make friends...."
Funding (last 2 of 4 rounds)
Jan 2021
$20m
SERIES B
Jul 2020
$2.8m
SERIES A
Total funding: $24.8m
Company benefits
- A unique opportunity to work on very interesting projects, get the level of responsibility and ownership that would be unlikely at any other project or trading firm
- A unique opportunity to join one of the strongest and most successful DeFi teams globally
- With Wintermute you don’t make a bet on a single product, platform, chain or technology; we’ll win if DeFi wins as a whole
- Great company culture: informal, non-hierarchical, ambitious, highly professional yet collaborative and entrepreneurial
- Option to work from London or Singapore offices, as well as remotely; we generally prefer at least 60% working from the office but are open to remote candidates
- Aligned incentive structure: high upside from performance-based variable pay with very transparent bonus system
- We offer standard perks too, like pension, private health insurance and free food, but that’s probably not the right reason to join us
Company values
- Ambitious: We set the most ambitious goals. We set the highest standards for ourselves and work hard. We play to win
- Collaborative: We go above and beyond to help our partners and counterparties grow. We work as a team, not as siloed groups and individuals. We are united by common goals and values
- Entrepreneurial: We love building new innovative things. We move very fast and focus on the results. We empower everyone from day 1 to act like an owner
- Meritocratic: We are non-hierarchical, informal, and direct. We focus on results above seniority and experience. We generously reward results
Company HQ
Westminster, London, UK
Articles
Leadership
Evgeny Gaevoy
(CEO)Holds an Executive MBA from London Business School. Joined Optiver as an Index Derivatives Trader, and was eventually made Head of ETF Business Expansion.
Share this job
View 13 more jobs at Wintermute