Mr Eghbal Rahimikia

Full contact details
View graph of relations


Eghbal obtained his undergraduate degree in Economics from the University of Tehran (first-class honours) and his master degree in Industrial Engineering from the Iran University of Science and Technology (distinction). In the master's degree, he focused on the theory and application of machine learning in bankruptcy prediction of companies. During that time, the Iranian National Tax Administration offered him a project related to tax evasion detection. He worked for more than two years in this project as a project manager and developer, and he developed a comprehensive software with more than 10,000 lines of written code incorporating different machine learning techniques such as Artificial Neural Network and Support Vector Machine. After this, he did different projects using Factor Analysis and Data Envelopment Analysis related to the calculation of efficiency of tax sectors and banking industry. Furthermore, he published the results of his research and projects in different journals. He is currently a PhD student at Alliance Manchester Business School (AMBS) under the supervision of Prof. Ser-Huang Poon working on the theory and application of machine learning and deep learning in finance. He finished working on two papers entitled Big Data Approach to Realised Volatility Forecasting Using HAR Model Augmented With Limit Order Book and News and Machine learning for Realised Volatility Forecasting. Currently, he's working on text mining and machine learning with a focus on financial news for volatility and return forecasting. Also, he is research assistant intern at the Oxford-Man Institute of Quantitative Finance, the University of Oxford under the supervision of Stefan Zohren. For more information, please visit his Personal Page.

External positions

Research Assistant Intern - Developing ML models for financial forecasting with the main focus on Natural Language Processing (NLP) under the supervision of Stefan Zohren at Oxford-Man Institute of Quantitative Finance, Oxford University

Oct 2020 → …

CEO consultant - Working as a consultant in design and implementation of an integrated financial, accounting, and auditing software connecting and supervising 33 subsidiary companies, Omid Investment Management Group Co


Financial software developer - Designed and developed software to calculate and compare efficiency of Iran’s banks based on reported financial statements using Data Envelopment Analysis, Hekmat Iranian Bank


Model developer - Developed models to determine the current status of tax offices across the country and promote selected offices using Factor Analysis, Iranian National Tax Administration


Project manager/Software developer - Designed and developed a system to detect corporate tax evasion based on machine learning and statistical models with more than 10,000 lines of written code, Iranian National Tax Administration


Areas of expertise

Education / academic qualifications

  • 2014 - Master of Engineering, Industerial Engineering - Bankruptcy prediction of Iranian companies based on hybrid intelligent systems., Iran University of Science & Technology (2012 - 2014)
  • 2012 - Bachelor of Economics University of Tehran (2009 - 2012)

Related information