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

What you'll be doing:

• 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
• Optimize inference latency and robustness; ensure models behave safely under live market conditions
• Continuously refine model quality through systematic backtesting, live evaluation, and monitoring

Perks and 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 amenities such as table tennis and foosball, personalized desk configurations, and 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 significant earning potential alongside standard perks like pension and private health insurance
• Significant flexibility about working from home and working hours
• UK work permits and help with relocation