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12 Month Internship - Quantitative Research

🚀 Off-cycle Internship


AI generated summary

  • You must have experience with statistical and econometric packages like Eviews, R, and Python, strong economic, financial, and statistical skills, and programming abilities in VBA. Good time management, attention to detail, and a genuine interest in financial markets are essential.
  • You will support the research team by updating quant tools, developing new projects, collating data, preparing templates, maintaining profit/loss records, and assisting in the preparation of research documents and presentations.

Off-cycle Internship

Research & DevelopmentLondon


  • Providing support to the UK research team, ensuring databases remain up to date, meeting client requests for data and information, and assisting in the preparation of research documents and presentations.
  • The role would also involve the maintenance and the development of quant tools so knowledge of VBA and Power Bi as well as experience with statistical software and programming languages (e.g. EViews, R, python) would be a plus.


  • Experience of using statistical/ econometric packages – e.g. Eviews, R.
  • Experience in using MS office packages, especially MS excel, MS Access, Power BI
  • Attention to detail
  • Ability to cope with different demands and prioritise
  • Good time management
  • Self-motivated
  • Genuine interest in financial markets
  • Good team skills
  • Strong communication skills
  • Strong economic, financial and statistical skills
  • Strong MS office skills, particularly MS Excel and MS Access
  • Programming experience in a statistical language – Eviews, R, Python
  • VBA programming skills

Education requirements


Area of Responsibilities

Research & Development


  • Help with the update, maintenance and the development of quant tools and data bases for the purposes of the UK research process.
  • Support the integration of the existing research quant tools into the global research platform.
  • Investigate opportunities for developing new quant tools, and identify projects that could enhance the team’s forecasting ability.
  • Assist team in the collation of information / data for the purposes of forecasting or report preparation.
  • Assist in the preparation of templates for research documents ahead of publication.
  • Help update PowerPoint and Power Bi presentations, collating data for charts and ensuring forecasts are consistent with those available in other publications.
  • Maintain the profit / loss record of Crédit Agricole CIB’s trade recommendations – price trade ideas in spot, vanilla and exotic options, interest rate futures.
  • Management and reporting:
  • The role reports to the Head of G10 FX Research


Work type

Full time

Work mode