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Practitioner experience
across the industry

Our London-based team of consultants, specialists and practitioners provide services to clients worldwide on a consultancy, contracting or outsourced basis.

We’re a team of hands-on analytics and credit risk professionals

Vestigo Partners are a team of experienced and dynamic analytics and credit risk professionals established in 2017.

With a strong pedigree in financial services and credit risk, and experience across numerous other industries, we deliver comprehensive analytical support and risk services.

Our London-based team of consultants, specialists and practitioners provide services to clients worldwide on a consultancy, contracting or outsourced basis.

Paul Matthews

Partner
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Paul’s expertise encompasses the development of analytical tools such as scorecards, predictive models and valuations for all areas of customer behaviour and credit risk across the breadth of secured and unsecured products. Paul has overseen business-focussed solution design and delivery for a wide range of clients.

Earlier in his career, Paul was a Director at Euristix and previously worked as a consultant at Experian, which he joined after completion of a PhD in Probability and Statistical Modelling at the University of Warwick.

Richard Pinch

Partner
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Richard is an expert in retail financial services analytics, forecasting and finance covering the entire credit risk cycle. He has built solutions for a range of clients including banks, lenders, debt purchasers and private equity firms.

Prior to founding Vestigo, Richard worked on portfolio management within the retail banking team at Barclays before joining Euristix, where as a Director, he had responsibility for leading project teams in portfolio review, forecasting and pricing across a diverse range of lending products.

Tom Cuppello

Associate Partner
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Tom has over 12 years’ experience in credit risk consultancy, data analytics and financial due diligence. At Vestigo, Tom is responsible for leading projects spanning the credit risk cycle on many products, including unsecured lending, credit cards, mortgages and non-performing loans.

Before Vestigo, Tom worked from Analyst to Senior Consultant at Euristix, as well as contracting at a leading alternative lender. Tom previously obtained a BSc in Mathematics, Statistics and Operational Research from the University of Manchester.

Matthew Dale

Associate Partner
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Matthew has specialist knowledge in financial modelling, scorecard building and benchmarking, having undertaken and led a number of projects in these areas. At Vestigo, Matthew works closely with client stakeholders, with recent experience including capital and impairment forecasting for a UK bank.

Matthew obtained a BSc in Mathematics from the University of Nottingham, after which he joined Euristix, in 2010, progressing to Senior Consultant with responsibility for managing projects for a wide variety of clients.

Ronald Yeung

Managing Consultant
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Ronald specialises in quantitative model development such as probability of default, loss given default and cash flow forecasting. Ronald acts as project lead on a variety of engagements, including portfolio pricing for a leading debt purchaser.

Ronald began his career in 2010 as an Analyst at Allied Irish Bank and Equifax, and more recently as a Consultant at Euristix. Ronald holds an MSc in Management from Imperial College Business School and a BSc in Mathematics, Operational Research, Statistics and Economics from the University of Warwick.

We’re proud to work with some of the most successful lenders and investors

We stand by
our values

Experience across a variety of engagements

Over £50
billion
in assets analysed and reviewed
Active in three
continents
working across the UK, Europe, Asia and Africa
More than 150
portfolios valued
of performing and non-performing loans on both the investor and vendor side
60+ years of credit
risk experience
combined across our Management Team

Experienced risk and analytics consultancy

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Building analytical solutions that are focused on your real-world objectives

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