Quantitative Research Intern

Posted July 13, 2026

Recently verified opening

Last verified 2026-10-15. Confirm the employer's current requirements before applying.

Research market data, cross-asset relationships and trading opportunities using statistics, machine learning and derivatives-pricing techniques. Simulate, backtest and validate models, and improve research tools alongside traders and researchers.

Requirements

Bachelor’s, master’s or PhD studies in a technical discipline, graduating between December 2027 and October 2028. Strong Python and its scientific stack, large-dataset analysis, statistics, probability and numerical methods; stochastic-calculus knowledge. NLP or high-performance computing research is helpful. Clearly communicating methods and results is important.

Programme details

The programme provides mentored project work, furnished housing and educational and social activities.

Role details summarised from the employer’s listing. Check the original application for the full requirements, benefits and current availability.

Preparing your application

Research candidates should focus on statistical modelling and testing ideas. Developers should prepare production-quality coding, system design and the numerical work required by the target team.

Quant Blueprint’s preparation advice; confirm the employer’s requirements in the original posting.

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