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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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Internship in Quantitative Research

G-Research
Found 2 months ago
Location
London, United Kingdom
Duration (Months)
2.5 Months
Time
Not disclosed
Work Mode
On-site
Salary
Highly competitive compensation plus accommodation
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • mathematics
  • programming
  • Python
  • C#
  • data science
  • machine learning
  • optimisation techniques
  • mathematical modelling
  • deep learning
  • optimisation
  • machine learning
  • back-testing frameworks
  • pipeline

Soft Skills

  • scientific clarity
  • deep exploration
  • methodical execution
  • curiosity
  • independent project
  • collaboration
  • structured feedback
  • motivation
  • work/life balance

Job Description

Over the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Quantitative Researcher at a leading quantitative finance research firm. You will be given a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis. Using rigorous scientific methodology, robust statistical analysis, and pattern recognition, you will extract meaningful predictive signals from financial time-series and use these to predict future dynamics. Your project will give you the opportunity to use a wide range of techniques in areas such as mathematical modelling, deep learning, optimisation, and machine learning in a practical and challenging context. Additional work may involve the implementation of back-testing frameworks to ensure signal robustness, or the creation of a pipeline which constructs and simulates the performance of a portfolio derived from various input signals. For the duration of the internship, you will collaborate with one of our Quantitative Researchers who will act as a mentor as you work on your independent project. You will receive structured feedback and reviews to help you to improve and develop, culminating in a final presentation of your research ideas to senior management. Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative finance and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events. Top performers on the internship will be considered for full-time opportunities on completion of their studies.

Requirements

  • Strong background in mathematics
  • Intermediate level of programming in at least one OO language (Python/C# desirable)
  • An interest in applying data science, machine learning and optimisation techniques to real-world problems
  • You should be in the final or penultimate year of a Masters or PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering or Computer Science. PhD preferred
  • We also like to see active GitHub/Kaggle profiles, but these aren't a prerequisite
  • Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Research

Nice to Haves

  • active GitHub/Kaggle profiles
▶Apply Now

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