2027 Quantitative Research Markets Analyst Program - Off-Cycle Internship - London

'Quantitative Research Markets' names the desk; in the posting the full team name is 'Quantitative Trading & Research Markets', a quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling and portfolio optimization.

'Off-Cycle Internship' signals a non-summer intake: the start is not August and the recruitment runs outside the main July to November analyst cycle, so candidates who missed the summer recruiting window still have a path in.

The posting names the team 'Quantitative Trading & Research Markets' and describes it as 'a leading quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization.' Analysts 'work closely with traders, sales, marketing, technologists, and risk managers across products and regions.' Source

The office listed is 25 Bank Street, Canary Wharf, London, E14 5JP. The requisition is filed under the Corporate Sector business unit and classified as 'Program Analysts & Associate'. Source

About 30 people have held London roles at Markets between 2018 and 2026.

The posting is from JPMorganChase. It was posted 2026-09-07 at 14:54 London time, with a stated application deadline of 2026-11-01 at 23:55 London time. The role is classed as a Seasonal Employee, Full time, Campus requisition. Source

The posting says 'Based on your individual achievements, those who successfully complete the program may receive offers of full-time employment.' After the application, candidates who advance face a coding challenge through Hackerrank and a self-recorded video assessment via HireVue, and both are required. Source

A deadline of 2026-11-01 is stated, but the posting also notes 'programs will close as positions are filled', so applying earlier in the window improves the chance of being seen before the intake fills.

Required: enrolled in a Bachelor's or Master's program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning), graduating between September 2026 to March 2028. Must demonstrate computer programming experience (e.g., Python, C++, or another programming language), analytical, quantitative and problem-solving skills, research skills, and the ability to present findings clearly to non-technical audiences. Source

Preferred: knowledge of options pricing theory or trading algorithms, demonstrated interest in finance through coursework or prior experience, confidence and initiative to take ownership of projects independently, and knowledge of machine learning and data science concepts, techniques, and tools. Source