Dr Laurence Jones
Lecturer in Finance
Lead (The Institute of European Finance - Financial Innovation and Data Analytics)
Overview
He is a Lecturer in Finance 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:
- Modelling dynamic systems to explore how they respond to regulatory and external changes,
- Retail investor behaviour
- Labour Economics
- 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.
Qualifications
- 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
Teaching and Supervision
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.
Research Interests
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.
Postgraduate Project Opportunities
Publications
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 - 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
Activities
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)
Projects
-
Skills & Innovation voucher scheme - Well-Fed (Services) Ltd - Midi
05/08/2024 – 31/01/2025 (Active)
-
17/04/2023 – 30/06/2025 (Active)
Other Grants and Projects
I have been awarded the following:
Role | Funder | Project | Amount |
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 | MEDRU | Developing a Data Dashbaord for JCB | - |
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 |
Other Information
- Ad hoc reviewer for European Economic Review, International Review of Financail Analysis and others.