Quantitative Researcher - AI & Machine Learning

About the role

MillTech, a London-headquartered FX and cash management provider regulated by the FCA, is hiring a Quantitative Researcher for its Quant Solutions Group. The role reports to the Chief Quant and AI Officer and covers research on FX markets and currency risk management using quantitative, statistical, machine learning and AI techniques. It is based in London with remote working available.

Key responsibilities

• Research FX markets and currency risk management using advanced quantitative, statistical, machine learning and AI techniques.
• Analyse structured, semi-structured and unstructured data to find insights, signals and opportunities for improving risk management strategies and analytics.
• Research and evaluate developments in quantitative finance, AI and machine learning and apply them to real-world financial market problems.
• Develop research prototypes and analytical workflows in Python.
• Occasionally support deploying successful research into production with technology teams; the focus is quantitative research rather than software engineering.
• Stay up to date with financial markets, quantitative research, AI and machine learning.

Required profile

• Recent graduate in a quantitative field from a reputable university, ideally with substantial quantitative, statistical and programming components.
• BSc/MSc in a technical degree such as Mathematics, Quantitative Finance, Physics, Computer Science, Statistics or Engineering.
• Demonstrable interest in FX, financial markets, quantitative investing or risk management.

Required skills

• Strong Python, including NumPy, Pandas and scikit-learn, and data structures, algorithms and computational complexity.
• Machine learning and AI experience, or strong ability and willingness to learn new techniques quickly.
• Strong analytical skills: formulating hypotheses, testing ideas rigorously and interpreting empirical results.

Desirable skills

• Financial time-series analysis or quantitative research experience.
• Agentic frameworks such as LangGraph, RAG, graph databases or knowledge graphs.
• Cloud services, preferably AWS, Docker and basic deployment workflows.
• Relational and NoSQL databases.

What we offer

• Competitive salary with annual reviews.
• 25 days' paid leave plus an extra day per year of service.
• Staff development, training and involvement in key projects.
• Flexible working including remote working.
• Medical and dental insurance, EV and cycle-to-work schemes, enhanced maternity and paternity leave, and a day off for charity work each quarter.

To apply, upload your CV; a team member will contact you about the next steps.