Responsibilities
- Develop, test, and deploy novel ML/AI models for prediction, signal generation, and anomaly detection.
- Work closely with the Quant Research and Trading Intelligence teams to translate insights into live strategies.
- Explore state‑of‑the‑art techniques (e.g., deep learning, reinforcement learning, graph neural networks) and rigorously evaluate their applicability in financial domains.
- Take full ownership of your models and strategies - from signal research, feature engineering, and backtesting through to execution, live performance monitoring, risk assessment, and iterative improvement in production.
- Analyze large, noisy, high‑frequency data streams; performing advanced feature engineering, and bias detection.
- Collaborate with our systems and infrastructure engineers to ensure models are productionised efficiently and reliably.
Basic qualifications
- A strong academic background in Machine Learning, AI, Statistics, Computer Science, Mathematics, or a related field - typically a PhD or equivalent, or an MSc with significant relevant experience
- Hands on experience building and deploying ML/AI models, especially for time series forecasting or anomaly detection.
- Genuine curiosity about trading, market microstructure and financial dynamics
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn).
- Solid programming and software development skills, with experience in a production environment.
- Experience with core data and infrastructure tools like Docker, S3/MinIO, and PostgreSQL/OLAP databases.
- A deep, intuitive understanding of topics like overfitting, generalization, and feature engineering.
- Stays up to date on ML/AI literature and experiments with new ideas
- The ability to communicate complex ideas clearly and collaborate effectively in a high‑performance team.
Preferred qualifications
- MLOps pipelines and tools (e.g., MLFlow, ClearML, Weights & Biases).
- High-performance computing and GPU optimization (e.g., CUDA, TensorRT).
Benefits
- An opportunity to work beside the best in the field, with direct exposure to live trading - you own your models and strategies end-to-end, from research through to production
- Competitive base salary based on experience
- Excellent variable pay and growth opportunities
- Outstanding performance is also rewarded with shareholding in the company
- A relocation package when moving from abroad, including a relocation budget, flight coverage, house-finding service and expat support
- Meals during work hours
- Social events and after-work drinks
- Reimbursement of travel costs
- Access to the in-house gym and chair massage
- In-house game room (pool table, board games and console games)
Tags & focus areas
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