Responsibilities Build and productionise Machine Learning models across asset classes. Apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar). Utilise cloud platforms like AWS SageMaker for fast scalability. Develop quantitative models to optimise trading, pricing, and risk management. Collaborate with sales teams to address client needs and develop solutions. Conduct in-depth research and data analysis for market insights. Maintain and support front office analytical libraries. Drive innovation through expertise in methodologies and industry advancements. Essential Skills Master's degree in STEM (PhD preferred). Strong foundation in Machine Learning, data science, and software engineering. Proven ability to create rigorous and practical solutions. Collaborative mindset and passion for learning and improvement. Experience mentoring, managing projects, and driving R&D thinking. Publications or open-source contributions are a plus. Desirable Skills Experience in quant trading (e.g., eFX) or alpha research. Expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.