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.
We hire a significant number of graduates and interns every year across the business. We offer the chance to apply your skills in a cutting-edge environment, surrounded by colleagues who are international leaders in their fields, with a highly competitive salary.
Quantitative Research, Machine Learning and Data Science
During this internship, you will work on your own challenging research project. This will demand innovative yet pragmatic mathematical and computational approaches. Using rigorous scientific methodology, robust statistical analysis and pattern recognition, you will analyse a data ecosystem, extracting deep insights.
You will work with evolving legacy systems, taking on projects in a number of new research fields, and contributing to important OpenStack work. The role will also involve enhancing and supporting the existing trade technology platform and associated toolset, as well as designing and implementing high quality code to work with large data sets.
On our Infrastructure placement you will rotate across different areas of the team including, but not limited to, Windows, Networks, Infrastructure and Big Data. This will give you an insight into the latest technologies available and the opportunity to travel to a number of offices and data centres, working on a breadth of projects with senior colleagues.
Gain experience in the growing field of data analytics while making a real contribution to the quality of decision making in a market-leading company. Your placement will include meeting with stakeholders, particularly senior management, to scope requirements and then using a range of techniques to answer questions using data. You will then present findings and recommendations based on your analysis to departments across the business.
During this placement you will learn what it means to be a strong HR professional in a leading technology business. You will rotate across two to three key HR and Talent functions with unique responsibilities for identifying and supporting some of the best people in their field. These include Talent Development, HR Change, HR Core, HR Analytics and Talent Acquisition.