We are a national PhD training centre, covering financial IT, computational finance, analytics and financial engineering. A unique collaboration between UCL, LSE and Imperial College London.
We have partnerships with 20 leading financial institutions. Our PhD students work closely with industry advisors on applied research projects within financial services companies
4-year PhDs in a diverse range of research departments including computer science, mathematics, statistics, physics, psychology, mechanical engineering and other areas applicable to financial computing and analytics.
With access to the most respected academic advisors in the field of financial computing and analytics, our students work with supervisors who can help them achieve a deep knowledge of their research subject areas.
The Centre for Doctoral Training in Financial Computing & Analytics has a number of PhD Scholarships fully funded for 3 or 4 years, jointly funded by UCL and leading companies in the financial and business sectors.
Application steps and online forms for the PhD in financial computing.
Bogdan Batrinca specialises in the practical application of computational statistics for performance analysis in financial systems, involving the decomposition of mixed data signals in order to investigate the underlying factors contributing to the eventual performance and perform 'what-if' scenarios for trading systems.
Machine learning, algorithmic trading, stochastic calculus, portfolio theory, artificial intelligence...
Explore the specialist research topics of our enrolled PhD students at the PhD Centre in Financial Computing.
We are a national Centre for Doctoral Training (CDT), covering financial IT, computational finance and financial engineering. A unique collaboration between UCL, LSE and Imperial College London.