Joshua Le Cornu here, let’s talk investment data.
Engaged quantitative researcher from an Economics background. Delivering efficient Python-based analytics and data solutions within a systematic equity trading pod.
Currently tackling new challenges in systematic equity investment at ExodusPoint and OxGalton Partners. Working as a Quantitative Researcher in an equity market neutral pod, rapidly growing skills in a variety of technologies linked to Python based analytics, AWS services, and automation.
Previously worked across two teams at Orbis Investments:
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Data Scientist implementing financial applications of machine learning for both investment research and stakeholder facing production tools.
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Decision Analyst working on data driven investor feedback coupled with behavioural finance.
Research supervisor and tutor in Economics, Econometrics and Python/R programming. Currently working actively with students at:
- University California Santa Barbara
- Charterhouse School
Academic research experience with three professors of the University of Oxford associated with both the Department of Economics and Department of Physics.
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Quantitative Finance with Dr. James Dodd of The Witness Corporation.
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Machine Learning applications to economic agent expectation models with Dr. Michael McMahon.
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Central Bank Digital Currencies with Dr. Alexander Teytelboym.
Further experience in hedge funds, economic consultancy, fintech, investment and asset management both in London and Jersey. Previously worked with students at University of Oxford, Durham University, Imperial College London, and more.
