Ekene Onyiriuka

Studied, back-tested, implemented, and developed trading algorithms culminating in trading success

Applied machine learning, deep learning and optimisation methods Innovated new feature selection algorithms through research of available methods and identification of flaws in common approaches, improving overall performance

Explored available data through visualisation, identified statistical properties and exploited such through models leading to solid foundation for future innovations

Researched and applied modern financial model concepts, and upgraded older methods (pairs trading) with machine learning filters, improving profits and optimising Sharpe ratio

Developed a strong inquisitive background through open research during Master and Doctoral degrees, led to 70% increase in citations

Developed confidence in presenting to enlightened and lay groups through continued engagement with stakeholders Secured £72,000 grant

Applied econometric analysis to groups of security prices to expose trading advantage, reducing risk associated with mean-reverting algorithms

Innovated negative correlation risk management of portfolios while holding leverage as constant stabilised profits in portfolio with small losses

Through teamwork, clear and consistent communication, time management and organisation skills, met milestones, increased firm's bottom line profits

Mathematical tools used singly and complementary for outputs on regular basis, creating consistent productivity during studies and work

Implemented trading strategies using tools for common trading platforms, resulting in ease of testing and decision-making on algorithms

Innovation and research led to confidence in creation of new trading systems