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Eghbal Rahimikia is an Assistant Professor at Alliance Manchester Business School, University of Manchester, focusing on Financial Technology and Management Sciences. He earned his Bachelor’s degree in Economics from the University of Tehran, graduating with first-class honors, and a Master’s degree in Industrial Engineering from the Iran University of Science and Technology with distinction. Eghbal completed his PhD in Finance at Alliance Manchester Business School in 2023. His research interests center around Machine Learning and Natural Language Processing in the context of Finance, and he has accepted PhD students to further explore these areas. Eghbal has a rich teaching portfolio, which includes courses on Financial Data Analytics, Data Analytics Programming Tools, and Applied Statistics for Business Forecasting. He has also been actively involved in workshops related to Natural Language Processing and programming skills in Machine Learning. Eghbal has received numerous accolades, including a PhD Scholarship from the University of Manchester and a semifinalist recognition at the FMA Annual Meeting. His expertise encompasses Financial Markets, Quantitative Modelling, and Machine Learning applications in Financial Econometrics, contributing significantly to the academic community through various publications and research projects.
Alliance Manchester Business School • Manchester, UK
Teaching and researching in Financial Technology and related disciplines.
Hull Tactical Asset Allocation •
Providing consultancy in financial strategies.
Oxford-Man Institute of Quantitative Finance, Oxford University •
Developed financial models and supervised projects involving Machine Learning.
Omid Investment Management Group Co •
Designed implementation of financial and accounting software.
Iranian National Tax Administration •
Developed systems to detect corporate tax evasion.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.