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.

• Profesiynol: Fellow of the Higher Education Academy (FHEA)
  The Higher Education Academy, 2023
• Profesiynol: AgilePM Practitioner
  2020
• Profesiynol: 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.

2024

• CyhoeddwydRobo-advisers are here – the pros and cons of using AI in investing
  Jones, L. & He, H., 13 Maw 2024, The Conversation.
  Allbwn ymchwil: Cyfraniad at gyhoeddiad arbenigol › Erthygl

2023

• CyhoeddwydAI threatens to add to the growing wave of fraud but is also helping tackle it
  Jones, L. & Gepp, A., 10 Awst 2023, The Conversation.
  Allbwn ymchwil: Cyfraniad at gyhoeddiad arbenigol › Erthygl
• CyhoeddwydSchadenfreude or Support for the Underdog?: How Unexpected Sporting Outcomes Influence Retail Investor Behaviour
  Jones, L. & Orujov, A., 19 Ebr 2023, Social Science Research Network (SSRN), t. 1, 44 t.
  Allbwn ymchwil: Papur gweithio › Papur Gwaith
• CyhoeddwydWelsh mining towns had alternative currencies 200 years ago – here’s what the crypto world could learn from them
  Jones, E. & Jones, L., 27 Meh 2023, The Conversation.
  Allbwn ymchwil: Cyfraniad at gyhoeddiad arbenigol › Erthygl

2022

• CyhoeddwydRegulating rating agencies: A conservative behavioural change
  Jones, L., Alsakka, R., ap Gwilym, O. & Mantovan, N., Meh 2022, Yn: Journal of Financial Stability. 60, 100999.
  Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
• CyhoeddwydThe Impact of Regulatory Reforms on European Bank Behaviour: A Dynamic Structural Estimation
  Jones, L., Alsakka, R., ap Gwilym, O. & Mantovan, N., Tach 2022, Yn: European Economic Review. 150, 104280.
  Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

2024

• Mitigating Customer Churn - Phase 2

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

  1 Medi 2024 – 30 Medi 2025

  Gweithgaredd: Ymgynghoriad (Ymgynghorydd)
• Predicting Customer Churn

  Creating a machine learning algorithm to predict customer churn likilyhood.

  1 Chwef 2024 – 30 Awst 2024

  Gweithgaredd: Ymgynghoriad (Ymgynghorydd)

2023

• JCB Data Dashboard

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

  1 Tach 2023 – 1 Ebr 2024

  Gweithgaredd: Ymgynghoriad (Ymgynghorydd)

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

  05/08/2024 – 31/01/2025 (Wrthi'n gweithredu)

• 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 (Wrthi'n gweithredu)

• PI - Welsh Goverment - SMART Partnership: "Develop a Dynamic Pricing System for Self-Storage Solutions" - £70,000
• PI - MoneyPenny - "Mitigating Customer Churn using Targeted Interventions guided by AI" - £27,801
• PI - Welsh Government - Skills and Innovation Voucher Scheme - "Guidance and Supporting the data and operational development for Well-Fed Foods" - £5,000
• Co-I - Welsh Goverment - Smart Flexible Innovation Support - "Assessing the use of Data Analytics by Welsh Businesses" - £34,197
• PI - MoneyPenny - "Identifying Customer Churn using Machine Learning" - £20,000
• PI - British Acadamy/Leverhulme Small Research Grant fro the project: "The Impact of Brexit, Covid-19 Pandemic and Inflation on Bank Lending and Solvency in the UK and EU - A Dynamic Structural Estimation" - £9,865

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