AI/ML research intern supporting applied research at the intersection of macro and FX markets. Exploring datasets and prototyping solutions with a focus on AI approaches.
Responsibilities
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!
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