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G-Research is a leading quantitative research and technology company. Using the latest scientific techniques and advanced analysis methods, we find patterns in large, noisy data to produce world-beating predictive research.
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Our mission as a team is to help discover, enrich and analyse data sources that will drive tomorrow’s research initiatives.
In this role, you will apply your knowledge to support the exploration, enrichment and even creation of new datasets for research. You will use your knowledge of data blending, statistical analysis, and machine learning methods to help scale and automate the way we analyse, validate and visualise diverse data sources; and you will help build tooling to enable data science initiatives across the company.
This is a team at the forefront of the company’s data strategy, responsible for finding solutions to some of the many important data challenges within the firm, meaning you will have a unique opportunity to make an impact from the beginning. The successful candidate will be comfortable working within a multi-disciplinary team, collaborating with industry leading data scientists and financial experts, developing solutions that adapt to a rapidly changing data landscape.
The role will offer exposure to cutting-edge technologies in a high growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm.
The ideal candidate will, at minimum, have experience in most of the following areas:
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.