GEORGE CIOCOIU

George joined Fideres in December 2025. Prior to joining, George worked as an Actuarial Intern at Mulsanne Insurance, where he led the development of an automated Solvency Capital Requirement model using Python.
George has a background in quantitative finance and economics. His academic research has utilised counterfactual approaches to analyse the impact of Quantitative Easing on gilt issuance, as well as machine learning techniques to model limit order book dynamics. At Fideres, George applies these skills to financial disputes, supporting the securities litigation team with economic analysis and damages assessment.
George holds an MSc in Computational Finance from University College London and a BSc in Economics from City St. George’s, University of London.