Quantatative Researcher

Position: Quantitative Researcher – AI & Machine Learning Reports to: Chief Quant and AI Officer Location: London/Remote About MillTech MillTech provides advanced FX and cash management solutions to increase market access, reduce costs and automate manual workflows. With a focus on automation, integration and connectivity, we have pioneered an independent risk management and liquidity solution for fund managers, institutions and global corporates, which is purpose-built to deliver best execution at scale. Our end-to-end operational workflow enables automation, standardisation and cost transparency on all FX transactions and cash movements. A highly secure platform centralises all client FX and cash activities to enhance oversight whilst increasing control, all at no additional costs. It offers quick onboarding routes, multi-bank best execution and hedging management services. Headquartered in London, the world’s largest FX hub, MillTech provides services to clients in the United Kingdom, United States, Canada, Switzerland, Belgium, Denmark, Ireland, Luxembourg, Norway and Liechtenstein. MillTech is authorised and regulated by the UK’s Financial Conduct Authority (FCA FRN 911636) and registered with the USA’s National Futures Association (NFA). Your responsibilities in this role will include: The role is in the Quant Solutions Group within the firm and involves: Conducting research on FX markets and currency risk management using advanced quantitative, statistical, machine learning and AI techniques. Analysing structured, semi-structured and unstructured data to identify insights, signals and opportunities to improve risk management strategies and analytics. Researching and evaluating the latest developments in quantitative finance, AI and machine learning and applying relevant techniques to real-world financial market problems. Developing robust research prototypes and analytical workflows in Python. Providing occasional support in deploying successful research into production, working with technology teams where required. The primary focus of the role is quantitative research rather than software engineering. Staying up to date with developments in financial markets, quantitative research, AI and machine learning. Requirements: A recent graduate in a quantitative field from a reputable university, ideally in a subject involving substantial quantitative, statistical and programming components. Proficiency in Python is essential, alongside experience with, or strong interest in, machine learning and AI. Required Skills: Education: BSc/MSc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, Statistics or Engineering. Machine Learning and AI: Experience with machine learning and AI techniques, or a strong ability and willingness to learn new techniques quickly. Python and Data Structures: Strong Python programming skills, including familiarity with NumPy, Pandas, scikit-learn and core concepts such as data structures, algorithms and computational complexity. Quantitative Research: Strong analytical skills and the ability to formulate hypotheses, test ideas rigorously and interpret empirical results. Financial Markets: Demonstrable interest in FX, financial markets, quantitative investing or risk management. Desirable Skills and Experience : Experience with financial time-series analysis or quantitative research. Experience with agentic frameworks such as LangGraph. Understanding of RAG, graph databases or knowledge graphs. Experience with cloud services, preferably AWS. Familiarity with Docker and basic deployment workflows. Understanding of relational and NoSQL databases. What we offer in return: Our commitment is to help you flourish in this role, through support with your professional development, opportunities to be involved in key projects, and exposure to challenges that you may not be offered in a larger organisation. We will provide: A competitive salary with annual reviews; 25 days’ paid annual leave plus an additional day per year of service; Excellent staff development and training opportunities; Flexible working arrangements including remote working; Medical insurance; Dental insurance; EV Scheme and Cycle to work scheme; Enhanced maternity and paternity leave; 1 day off for charity work per quarter and many other benefits! How to apply? At MillTech we believe that diversity and inclusion are essential for fostering innovation and building a strong, supportive work environment. We are committed to embedding the best equality and diversity practices into all our activities, making us an inclusive, welcoming, and exciting place to work. We would welcome candidates from all backgrounds and experiences. We would love to hear from you if you think that you’re a good fit for this role. To apply you should upload your CV. One of the team will then be in touch with you to discuss the next steps.