Quantitative Research Internship – Live Trading & Data

Isam Securities

Greater London

On-site

GBP 22,000 - 33,000

Full time

14 days+

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Job summary

iSAM in London is offering Quantitative Research Internship opportunities for PhD students in their penultimate year of study in a quantitative discipline. These internships will take place during Summer 2026 and will run for 12 weeks.

Roles are available across three key areas of the business: Quantitative Trading within iSAM Securities; Quantitative Research within the iSAM Options desk; Quantitative Research within iSAM Funds.

Qualifications

  • PhD student in quantitative field with expected completion in 2026 or 2027.
  • Strong foundation in statistics and probability theory; familiarity with machine learning.
  • Strong programming in Python with NumPy/Pandas.
  • Experience handling large datasets and developing algorithmic solutions; research-driven environment.

Responsibilities

  • Assist in researching and developing systematic investment strategies across multiple asset classes.
  • Analyze large and complex financial datasets to identify signals and patterns.
  • Design, implement, and test quantitative models using Python and statistical libraries.
  • Support backtesting, performance analysis, and validation of trading strategies.
  • Help maintain and enhance research infrastructure, tools and data pipelines.
  • Document methodologies and present findings to senior researchers.
  • Collaborate with portfolio managers, researchers and technologists.

Skills

Python
NumPy/Pandas
Statistics
ML basics

Education

PhD student in quantitative field

Tools

Jupyter
Git

Job description

iSAM in London is offering Quantitative Research Internship opportunities for PhD students in their penultimate year of study in a quantitative discipline. These internships will take place during Summer 2026 and will run for 12 weeks.

Roles are available across three key areas of the business: Quantitative Trading within iSAM Securities; Quantitative Research within the iSAM Options desk; Quantitative Research within iSAM Funds.

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