MillTech

Quant and AI PhD Research Intern

MillTech

internship

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Entry Level

Tech Stack

Python

About the role

  • Support research projects at the intersection of macro, FX markets, and applied AI/ML.
  • Explore structured and unstructured datasets, forming testable hypotheses.
  • Build prototypes and document results clearly for both technical and non-technical stakeholders.
  • 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

  • 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.
Benefits
  • 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!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonmachine learningAIdata handlingdata analysismodelingevaluationvisualizationhypothesis formulationgraph databases
Soft Skills
researchdocumentationcommunication
Certifications
PhD candidate