Quant and AI PhD Research Internship

Position:             Quant and AI PhD Research Internship                    

Reports to:         Chief Quant and AI Officer          

Location:             London

Duration:            June 2026 – September 2026 (4 months)  

Overview - 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). 

The opportunity:

This internship is aimed at a PhD researcher who enjoys applied research and is motivated by learning, experimentation, and turning ideas into working prototypes.

You will support research projects at the intersection of macro, FX markets, and applied AI/ML. The work will involve exploring structured and unstructured datasets, forming testable hypotheses, building prototypes, and documenting results clearly for both technical and non-technical stakeholders. The role has a particular focus on exploring how machine learning and AI approaches can be used in FX market, such as forecasting, regime classification, risk/event mapping, representation learning, NLP for macro narratives

Requirements (essential);

• PhD candidate in a relevant quantitative discipline (e.g., Economics, Finance, Data Science, Computer Science, Physics, Engineering, Applied Mathematics), with a demonstrable research track record.


• Strong macroeconomics and FX market knowledge, including familiarity with applied FX research themes (e.g., carry, value, momentum, risk premia, macro surprises, regimes, cross-asset relationships).


• Excellent Python programming skills for research workflows (data handling, analysis, modeling, evaluation, visualization).


• Experience conducting research with high standards of rigor, including hypothesis formulation, baselines, validation, and documentation.


• Interest in (and ideally some hands-on familiarity with) machine learning and AI frameworks applied to financial markets.


• Experience with RAG / agentic workflows (e.g., LangGraph/LangChain) and/or graph databases are highly desirable.

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.