He is a Lecturer in Finance and Data Analytics here at Bangor University and Head of the Institute of European Finance’s “Data Analytics and Financial Innovation” research group.

His current research is focused on:

1. Modelling dynamic systems to explore how they respond to regulatory and external changes,
2. Retail investor behaviour
3. Labour Economics
4. Predictive data analytics in a variety of business settings to enhance decision making.

He also has research interests in: Labour Economics, Data Analytics, Stock Recommendations, Credit Ratings, Regulation and policy impact. He is also an active member of the IEF's "Credit Risk" research group.

His background includes:

• Head of Data and Analytics at a Financial Technology start-up analysing the performance of stock recommendations
• PhD in Banking and Finance where he investigated the impact of new regulation on Credit Rating Agency and Bank behaviour and applied dynamic computer modelling to the task (Dynamic Structural Estimation modelling and Discrete Choice Dynamic Programming).
• Held roles both as a data scientist and a mathematician/statistician.
• The Alun Turing Institute’s Bangor Theme Champion for “Economy and Finance, Autonomous Systems”.
• Undergraduate BSc (Hons) in Physics from University of Warwick.

• Professional: Fellow of the Higher Education Academy (FHEA)
  The Higher Education Academy, 2023
• Professional: AgilePM Practitioner
  2020
• Professional: Chartered Management Institute Level 5 Training
  Chartered Management Institute, 2019
• PhD: Banking and Finance - "Regulating Credit Rating Agencies"
  2015–2019
• MSc: Banking and Finance
  2012–2013
• BSc: Physics
  University of Warwick, 2009–2012

Undergraduate Teaching:

• Corporate Finance (ASB 2202/2203/3200)

Postgraduate Teaching:

• Research Methods (ASB/ABJ 4101)

He has also taught: Macroeconomics, Financial Econometrics, Finance, Investment and Banking.

My current rearch interest are:

• Modelling dynamic systems using a variety of dynamic modelling approaches
• Financial institution (bank) behaviour and response to regulation
• Retail investor behaviour
• Labour economics
• Predictive data analytics and its use and employment in industry to enhance business desicion making.

Other areas that I have explored include: credit ratings, Financial Institutions and Banks, Retail Investor Behaviour, Analyst Stock Ratings and Dynamic Structural Estimation Modeling.

2025

• PublishedESG Investment Among Retail Investors: A Systematic Literature Review and Future Research Agenda
  Li, J., He, H., Jones, L., Gepp, A. & Lu, Y., 2025.
  Research output: Contribution to conference › Paper › peer-review
• PublishedTechnology-enabled innovations in financial markets and retail investors: a systematic literature review
  He, H., Jones, L., Lu, Y. & Gepp, A., 10 Jun 2025, In: Journal of Accounting Literature.
  Research output: Contribution to journal › Article › peer-review

2024

• PublishedRobo-advisers are here – the pros and cons of using AI in investing
  Jones, L. & He, H., 13 Mar 2024, The Conversation.
  Research output: Contribution to specialist publication › Article

2023

• PublishedAI threatens to add to the growing wave of fraud but is also helping tackle it
  Jones, L. & Gepp, A., 10 Aug 2023, The Conversation.
  Research output: Contribution to specialist publication › Article
• PublishedSchadenfreude or Support for the Underdog?: How Unexpected Sporting Outcomes Influence Retail Investor Behaviour
  Jones, L. & Orujov, A., 19 Apr 2023, Social Science Research Network (SSRN), p. 1, 44 p.
  Research output: Working paper
• PublishedWelsh mining towns had alternative currencies 200 years ago – here’s what the crypto world could learn from them
  Jones, E. & Jones, L., 27 Jun 2023, The Conversation.
  Research output: Contribution to specialist publication › Article

2022

• PublishedRegulating rating agencies: A conservative behavioural change
  Jones, L., Alsakka, R., ap Gwilym, O. & Mantovan, N., Jun 2022, In: Journal of Financial Stability. 60, 100999.
  Research output: Contribution to journal › Article › peer-review
• PublishedThe Impact of Regulatory Reforms on European Bank Behaviour: A Dynamic Structural Estimation
  Jones, L., Alsakka, R., ap Gwilym, O. & Mantovan, N., Nov 2022, In: European Economic Review. 150, 104280.
  Research output: Contribution to journal › Article › peer-review

2024

• Mitigating Customer Churn - Phase 2

  Implementing machine learning models to develop an optimal strategy to mitigate customer churn with targeted interventions.

  1 Sep 2024 – 30 Sep 2025

  Activity: Consultancy (Consultant)
• Predicting Customer Churn

  Creating a machine learning algorithm to predict customer churn likilyhood.

  1 Feb 2024 – 30 Aug 2024

  Activity: Consultancy (Consultant)

2023

• JCB Data Dashboard

  Creating a data dashboard for JCB to showcase data from their production facility.

  1 Nov 2023 – 1 Apr 2024

  Activity: Consultancy (Consultant)

• Harnessing Digital Transformation and Data Analytics for Business Performance

  01/03/2025 – 15/07/2025 (Active)

• Skills & Innovation voucher scheme - Well-Fed (Services) Ltd - Midi

  05/08/2024 – 31/01/2025 (Finished)

• The Impact of Brexit, Covid-19 Pandemic and Inflation on Bank Lending and Solvency in the UK and EU - A Dynamic Structural Estimation

  17/04/2023 – 30/06/2025 (Finished)

I have been awarded over £150,000 in research funding, comprising 8+ project which include the following:

• Ad hoc reviewer for European Economic Review, International Review of Financail Analysis and others.