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Quantitative Research Internship in Quantitative Research (Data Science, Machine Learning, Mathematical Modelling)

G-Research
Pay: Competitive
Internship Type:
Length of Scheme: Unknown
Deadline date: Unknown
Location: London London United Kingdom
Category: Internship
Available from: Immediately
Finishes on: Ongoing Position
Type of work: Full Time, Indoor , Daytime Work
Job reference: E04142573
Pharmaceuticals 2021-06-24 2021-10-06

Job Description

Internship in Quantitative Research (Data Science, Machine Learning, Mathematical Modelling) Applications for G-Research’s internships will open formally in September, however we are now welcoming pre-applications from those who wish to register their interest early. Please note, you should not expect an update on your application before 6th September 2021.G-Research is Europe’s leading quantitative finance research firm. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.The role10 week summer programme (July to September 2022)09:00-17:30 working hoursBased in Central LondonJoining G-Research’s Summer Internship Programme, 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. Upon successful completion of the programme, many interns are offered the opportunity to join us full-time once they have completed their studies.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.Who are we looking for?The ideal candidate will, at minimum, have experience in the following areas:Strong background in mathematicsIntermediate level of programming in at least one OO language (Python/C# desirable)An interest in applying data science, machine learning & 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 scienceWe also like to see active Git Hub/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.Why should you apply?Highly competitive compensation plus generous accommodation allowanceG-Research community with weekly intern activitiesInformal dress code and excellent work/life balanceCentral London office close to 5 stations and 6 tube lines G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

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