At a Glance
- Tasks: Develop cutting-edge ML models for trading using high-frequency data and collaborate with top-tier teams.
- Company: Join Wintermute, a leading crypto algorithmic trading firm with a vibrant startup culture.
- Benefits: Enjoy competitive pay, flexible working hours, and a fun office environment with great amenities.
- Other info: Experience a dynamic workplace with team events and opportunities for professional growth.
- Why this job: Make a real impact in the innovative world of crypto trading while advancing your career.
- Qualifications: Degree in a quantitative field and strong Python programming skills required.
The predicted salary is between 70000 - 90000 £ 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 De Fi 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.
The Role
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.
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.
Responsibilities
- 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.
Requirements
- 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).
- Nice to Have
- 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.
Benefits
- 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.
- A performance-based compensation with a significant earning potential alongside standard perks like pension and private health insurance.
- Additional Notes
- Although we are unable to accept fully remote candidates, we support significant flexibility about working from home and working hours.
- We offer UK work permits and help with relocation
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Senior Machine Learning Researcher employer: Unchain Data
MoonPay is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. Located in a vibrant tech hub, employees benefit from flexible working arrangements, continuous learning opportunities, and the chance to work on cutting-edge AI-driven projects that directly impact the fintech landscape. With a strong emphasis on personal growth and a supportive team environment, MoonPay empowers its employees to make meaningful contributions while advancing their careers.
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