Course details

Dates are currently being finalised. Get in touch to find out more
Download course brochure

Euromoney Learning On-Demand

Powered by Finance Unlocked

Learn about every aspect of finance, delivered through one-off videos and in-depth pathways

Learn More

VAT on Virtual and Online Programmes

VAT is applicable on virtual programmes to delegates attending from the UK*. If participating from the EU, a valid VAT number is required to ensure VAT will not be charged under the reverse charge mechanism. VAT is not applicable to attendees from all other countries.
*For virtual courses ran through our Asia office, VAT may be applicable to HK and Singapore residents only. Find out more by contacting


Claiming Back Your VAT

All attendees of a London based course incur VAT as a part of the cost of attendance.

Euromoney Learning have partnered with VAT IT to allow you the unique opportunity to recoup the VAT incurred.

Using VAT IT's extensive experience and simple sign-up and refund process, every invoice can be turned into cash for your business.

Claim the VAT that's rightfully yours in four simple steps:

1. Register your interest

2. Sign a few simple documents

3. VAT IT processes your claim

4. Receive your refund

Why choose VAT IT 

VAT IT have spent two decades identifying, researching and perfecting the foreign VAT Reclaim process and built the best back end technology in the industry. By partnering with Euromoney Learning, we can provide you with a fast and effective way to reclaim your VAT which helps reduce the cost of your training.

VAT IT will charge a percentage of the VAT refund if/when it is successful. 

Can I claim back the VAT myself?

You can claim back VAT directly from the UK Tax Authority (HMRC) by completing the following form. 
For European clients, please refer to form VAT 65
All other clients, please refer to form VAT 65A.


You may also be able to claim back your VAT against courses taking place outside of the UK, and we would recommend contacting VAT IT, our specialist partner, to discuss how to do this.

Credit Portfolio Risk Management

Educate yourself in credit portfolio modelling & management
  • This course is designed to help participants understand the significant components and features of credit portfolio modelling and management (CPM). The aim is to elucidate how a broad range of risk modelling and risk assessment approaches can be brought together to enable risk-based pricing and assessment—ultimately enabling portfolio managers to choose investments based upon fundamentals as well as market dynamics. During the course, the instructor—a former senior executive, board member and CRO of a large, emerging markets, publicly-listed banking group—will also endeavor to offer his experience in developing CPM techniques to fit the emerging markets landscape. This would include discussions of how the CPM framework can be developed in lieu of a complete systems architecture, when credit reference and credit rating bureaus are not available and when data and past history on customers is sparse. Primary focus is also given to best-practice and to quantitative methods that are actually demonstrated to work in practice across many of the 40 countries and 4 continents in which instructor has direct experience. In addition, participants will learn:

    • The elements necessary for internally developing and testing a ratings and scoring system that can be used with various exposure types—including privately listed, small to medium-sized enterprises (SMEs)
    • How to integrate a quantitative, credit scoring platform with a qualitative ratings system in Basel II/III-compliance fashion
    • How to develop the necessary CPM databases for estimating and validating scoring models and risk components, such as Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD)
    • Portfolio-level measures of risk, including measures of concentration using Copulae, tail dependence and other advanced measures
    • How to use Monte Carlo simulation and basic programming to develop and test scoring models and to model portfolio dependence, persistence, dynamics and stress-testing
    • How to use this integrated system in both origination and portfolio management activities
    • How to assess Expected Loss (EL) for provisioning and Unexpected Loss (UL) for capital allocation—both on a standalone and portfolio basis
    • How to create a Risk-Adjusted-Performance-Measurement (RAPM, aka RAROC) system

    As well as useful techniques related to specific topics, such as:
    • Strategies for extracting important information from problem accounts
    • How to explain quantitative model results to qualitative-oriented directors and shareholders

  • Day 1

    Overview of Credit Portfolio Management

    What Credit Portfolio Management boils down to
    • Buy and hold strategy
    • Static risk (loss) distribution
    • Lack of Risk-Adjusted Performance
    • Expected Loss (EL) and Unexpected Loss (UL) can be underestimated
    • The All-In-Spread (AIS) of traditional lending
    The Credit Portfolio Model
    • Breaking the Credit Process into components
    • Alternative credit strategies
             • Selling Exposures
             • Establishing SPVs
             • Use of Credit Derivatives and Structures
             • Digital and other opportunities to derive revenue
    • The Role of Risk Management
    • The AIS under CPRM
    The Credit ALCO and other key parties
    • Hurdles in emerging markets
    • The Psychology behind implementing CPM and getting buy-in
    • Helping Management Make Strategic Choices
    • The primary tool for strategic choice: Risk-Adjusted Performance Management (RAPM)

    The Traditional (Commercial Bank) Credit Portfolio model

    Day 2  

    Setting up a CPRM Function

    Risk Adjusted Performance Measurement (RAPM)

    • RAPM Components
    • RaROC vs. RaRORAC
    • Risk Contribution
    • How RAPM helps us select exposures
    • How RAPM helps us manage exposures
    • Developing a RAPM Model
    • RAPM Examples in Spreadsheets
    • Determining Economic Capital
    • Setting Internal Transfer Prices and External Prices
    • Using RAPM to et the risk appetite

    Summary and Best-Practice on RAPM
      Developing Analytics to Support RAPM • Portfolio dynamics • Valuation • Migration • Value-at-Risk and default • Economic and Regulatory Capital • Risk Components
    The Basel Back drop • Basel I, II and III compared       Numerical Examples • The Risk Components under Basel Rules • Dynamics of Risk components (in spreadsheets) • Basel at the Portfolio Level
    Portfolio Dynamics
    PD estimation
    • Why we do not like statistical obligor PDs in retail • Segmentation       Vintage analysis       Delinquency status       Developing a PD model - Smoothing
    Loss given default measurement (LGD) • Various loss model techniques • Workout LGDs • Actuarial LGDs • Statistically based LGD • Portfolio level (risk pool) LGDs
    Exposure at default (EAD) • EAD modeling techniques • ASRF-based EAD • Statistically based EAD 


    Day 3

    Risk Component Backtesting


    • Probability of Default (PD) backtesting - Hosmer/Lemeshow - Binomial Tests - Brier Score - Other tests - Problems with the Central Limit Theorem in practice • Loss Given Default (LGD) backtesting - Choosing a low operational risk LGD estimation method - Backtesting and confidence intervals
    Developing the Retail and SME scoring models • Public companies • Dealing with private, unaudited companies • Structural models: Black-Scholes-Merton - Public firm variants - Private firm variants - What will like work in African markets • Excel exercises • Statistical models • Actuarial Models • Excel exercises
    Expected Loss (EL) and Unexpected Loss (UL) for Single exposures • Provisioning and Basel II-related issues • Economic capital allocation
    Using your risk model for capital allocation
    Developing a Risk-adjusted-performance measurement (RAPM) system • Using EL and UL • Excel Exercises  

    Day 4

    EL and UL for Portfolios • Correlation and joint default estimation • Obtaining a Credit Value-at-Risk (CreditVaR) • Setting Economic Capital • Excel Exercises
    Portfolio stress testing, provisioning and recapitalisation • Defining stress tests • Distinguishing scenarios and sensitivity analysis • Interpreting results • Articulating results internally and to investors and regulators • Incorporating in the Internal Capital Adequacy Assessment Process (ICAAP)
    Concluding Remarks


  • Our Tailored Learning Offering

    Do you have five or more people interested in attending this course? Do you want to tailor it to meet your company’s exact requirements? If you’d like to do either of these, we can bring this course to your company’s office. You could even save up to 50% on the cost of sending delegates to a public course and dramatically increase your ROI.

    If you want to run this course at a location convenient to you or if you want a completely customised learning solution, we can help.

    We produce learning solutions that are completely unique to your business. We’ll guide you through the whole process, from the initial consultancy to evaluating the success of the full learning experience. Our learning specialists ensure you get the maximum return on your training investment.

  • We have a combined experience of over 60 years providing learning solutions to the world’s major organisations and are privileged to have contributed to their success. We view our clients as partners and focus on understanding the needs of each organisation we work with to tailor learning solutions to specific requirements.

    We are proud of our record of customer satisfaction. Here is why you should choose us to help you achieve your goals and accelerate your career:

    • Quality – our clients consistently rate our performance ‘excellent’ or ‘outstanding’. Our average overall score awarded to us by our clients is nine out of ten.
    • Track record – 10/10 of the world’s largest banks have chosen us as there training provider and we have delivered training across the largest banks and have trained over 25,000 professionals.
    • Knowledge – our 100+ strong team of industry specialist trainers are world leading financial leaders and commentators, ensuring our knowledge base is second to none.
    • Reliability – if we promise it, we deliver it. We have delivered over 25,000 events both in person and online, using simultaneous translation to delegates from over 99 countries.
    • Recognition – we are accredited by the British Accreditation Council and the CPD Certification Service. In an independent review by Feefo we scored 4.2/5 on service and 4.7/5 on Coursecheck
This course can be run as an In-house or Tailored Learning programme



    Maurice is a global management consultant, former banking executive and experienced, public company board member that has worked in over 60 countries. He has been an advisor and consultant to boards and executive teams with numerous, major banks, investment banks, central banks and investment funds, including notables such as Abu Dhabi Investment Authority, Morgan Stanley, Goldman Sachs, Wells Fargo, ING, HSBC, State Street, Sberbank, Bank of China, Construction Bank of China and The Monetary Authority of Singapore. He has also worked as an expert advisor and senior advisor for major consultancies, such as McKinsey, BCG, PwC and KPMG.  Owing to his expertise in the underwriting of digital products, Maurice was previously the Chief Risk Officer (CRO) and executive board member of the bank which invented “mobile money,” and ultimately designed and executed the world’s first mobile lending product suite. He holds a PhD and MA in economics from Princeton, an MA certification from MIT and a double BA in mathematics and economics from Northwestern. Maurice is a former student of Nobel Prize winners John Nash and Daniel Kahneman and former Fed Chairman Ben Bernanke. In addition to his risk management related work, he currently employs cognitive science in advising startup integration at Fortune 100 companies. A widely sought after public speaker and columnist, Maurice lectures in the executive programme at Churchill College, Cambridge and has published numerous articles in the Harvard Business Review, Inc. Magazine and Business Insider.