Eghbal Rahimikia

Eghbal Rahimikia

Dr

 https://orcid.org/0000-0001-6583-2332

Accepting PhD Students

Personal profile

Overview

Eghbal obtained his undergraduate degree in Economics from the University of Tehran (first-class honours), his master's degree in Industrial Engineering from the Iran University of Science and Technology (distinction) and his PhD degree in Finance from the Alliance Manchester Business School (AMBS), the University of Manchester. He is currently an Assistant Professor in Financial Technology (FinTech) at the Alliance Manchester Business School, working on the theory and application of machine learning (ML) and natural language processing (NLP) in Finance.

Current PhD students:

Hai, Lun

Zhang, Kai

Teaching

Lecturer

2024-2025 - Semester 2 Financial Data Analytics & AI in Finance (M.Sc.).

2024-2025 - Semester 1 Data Analytics with Programming Tools.

2023-2024 - Semester 1 Applied Statistics and Business Forecasting (M.Sc.).

2023-2024 - Semester 1&2 Understanding Data and their Environment (M.Sc./Ph.D.).

2022-2023 - Semester 1 Financial Derivatives.

2021-2023 - Semester 2 Financial Engineering.

2021-2022 - Semester 2 Fundamentals of Finance.

Further information

Workshops

06/24 From Conceptualisation to Implementation: Natural Language Processing in Business Studies
Northern Advanced Research Training Initiative (8 hours).

02/21 Natural Language Processing (NLP), a theoretical and practical review.
University of Manchester (2 hours).

09/19 Programming skills for machine learning - an overview of the current practical and theoretical trend.
University of Manchester (2 hours).

06/17 - 11/17 Advanced MATLAB programming course with a focus on financial modeling and machine learning.
Khatam university / Securities and Exchange Organization of Iran (60 hours).

10/15 - 01/16 Intermediate MATLAB programming course for the banking sector.
Parsian bank - Investment department (40 hours).

Prizes and awards

2022 Best paper award (semifinalist).
FMA Annual Meeting.

2018 Alliance Manchester Business School PhD Scholarship.
University of Manchester.

2012 Top 5% GPA in undergraduate school among 100 students.
Faculty of Economics - University of Tehran.

2012 Was accepted at the graduate school without entrance exam.
Was accepted at Iran University of Science and Technology, Department of Industrial Engineering based on outstanding academic background (Exceptional Talents program).

Other research

Nonlinearity Test for Principal Component Analysis: A MATLAB code.
Habibnia, Ali, Eghbal Rahimikia, and Hossein Mahdikhah.
(2018). ResearchGate, 2018

MATLAB Cheat Sheet for Data Science - London School of Economics.
Habibnia, Ali and Eghbal Rahimikia.
ResearchGate (2017). London School of Economics, 2017

Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran.
Rahimikia, Eghbal, Shapour Mohammadi, Teymur Rahmani, and Mehdi Ghazanfari.
International Journal of Accounting Information Systems 25 (2017) pp. 1–17. Elsevier, 2017

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Doctor of Philosophy, Finance, Alliance Manchester Business School

2018 → 2023

Award Date: 31 Mar 2023

Master of Engineering, Industerial Engineering, Iran University of Science & Technology

2012 → 2014

Award Date: 31 Dec 2014

Bachelor of Economics, University of Tehran

2009 → 2012

Award Date: 31 Dec 2012

External positions

Consultant, Hull Tactical Asset Allocation

Aug 2023 → …

Research assistant Intern - Developing FinText, a purpose-built financial word embedding for financial textual analysis, proposing an ML model via FinText for realised volatility forecasting, and making the designed model more transparent and understandable by Explainable AI methods under the supervision of Stefan Zohren at Oxford-Man Institute of Quantitative Finance., Oxford University

Jan 2021 → Apr 2021

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

2017

Project manager/Software developer - Designing and developing a system to detect corporate tax evasion based on machine learning and statistical models with more than 10,000 lines of written code. Also, developing models to determine the current status of tax offices across the country and promote selected offices using Factor Analysis. , Iranian National Tax Administration

2014 → 2017

Areas of expertise

  • HG Finance
  • Financial Markets
  • Quantitative Modelling
  • Financial Econometrics
  • QA75 Electronic computers. Computer science
  • Machine Learning
  • Deep Learning
  • text mining
  • Big Data
  • Data Science

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