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Initially you will be mentored by a senior member of the team and will be responsible for implementing and optimizing existing strategies. You will work on the research, design and C++ implementation of innovative data analysis algorithms and tools and the research, back-testing, C++ implementation and deployment of new trading strategies.
PhD from a top tier University in any of the following subjects; Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research, Econometrics, Signal Processing, Computer Vision.
They will also consider exceptional Masters level students.
An understanding of how to translate your research expertise to contribute to the development and optimisation of quantitatively driven strategies and trading.
Experience of working with large data sets, or noisy data.
A distinguished background in research or internships at reputable organisations.
Strong software programming skills in C++ ,Perl or Python.
Demonstrable interest in systematic trading.
A background in time series analysis, statistics, reinforced learning algorithms, portfolio theory.
They are happy to consider candidates who have completed their PhD this year as well as candidates who graduate in 2018 and are looking for a role on completion of their PhD .
Interviews will consist of meetings with the senior partners as well as technical rounds with the quants and developers.
The environment is excellent and turnover is incredibly low.