Arabesque is a technology firm that aims to bring a new dimension to investing, using machine learning and big data to assess the performance and sustainability of globally listed companies. Described as ‘The Tesla of Finance’ by Reuters, our story is one of partnership between leaders in finance, mathematics, and sustainability working together to develop the next generation of asset management.
With headquarters in London and offices in Frankfurt, Singapore, and Boston, the firm is in a period of rapid international growth. We are now offering three to six-month Machine Learning PhD/MSc internships in Arabesque’s Quantitative Research team.
The role focuses on applying Machine Learning to find patterns in large scale financial and non-financial datasets. The role sits within a new AI team who are in the processes of launching a machine learning strategy-based investment fund.
Candidates ideally have graduated or are currently studying for a PhD in a computer science, time series or statistics related field.
Candidates are not required to have a knowledge of finance.
We are also interested in high performance computing candidates with experience in building large scale distributed computational graphs. Knowledge of distributed data systems is also a plus.
While professional experience is not a requirement, candidates would have ideally engaged in personal side projects or the open source community.
If you are interested in applying, or have any questions, please send your CV.