Certified Expert in Risk Management

• An interactive e-learning course including video lectures, a PDF script for each unit, practical exercises and examples, ready to use excel tools, online tests and case studies.
• A discussion forum for course related issues as well as for exchange of opinions and experiences with your classmates, tutors and the FSDF e-Campus Team.
• Personalized support from your e-Campus team.
• The option to obtain a Frankfurt School certificate after passing the final exam or a confirmation of course completion after completing the course.
• An international network of institutions hosting our final exam all over the world.

Final exam fee: 50 EUR (to be paid directly to the final exam host).

Certificate fee: After passing the final exam you will receive a digital certificate. Should you wish to receive a hard copy of your certificate as well, an additional administrative fee of EUR 50 will be charged.

Discounts:

• 10% group discount (for 2 or more participants working for the same instutiton, informed to us before by an email)
• 10% for FS Alumni
• For additional package offering, please contact us.

Payment Options

• Bank Transfer (bank fees to be covered by the participants)
• Credit Card
• PayPal

Payment in instalments is unfortunately not possible.

*Subject to change

This course should be of interest to financial professionals in retail and small business banks, leasing firms, consumer credit companies and microfinance institutions.

Managers and analysts at wholesale lenders and investment vehicles with exposure to the retail finance and microfinance sectors will also get excellent value from this Certificate.

Many participants will currently be employed or interested in taking up a position as accountant, treasury manager, chief risk officer, risk analyst, credit manager, internal auditor or collections manager etc.

The course takes 6 months assuming 5-7 hours of self-study per week. It consists of 10 units which build upon each other. You will take the units in sequence and will  need to pass an online multiple choice test before accessing the next unit.

The CERM course includes 3 mandatory assignments, which have to be submitted on a specific date.

You are not sure if you manage to complete the course within 6 months? No worries! You can apply for a course extension (6 more months) against an administrative fee.

In this first unit, we will give a general introduction into risk management and the nature of risk. There is a whole science of risk out there. Armies of risk professionals are making a good living on the simple idea that life in general, and outcomes in business in particular, are uncertain and things might go differently from what we have budgeted and planned for. So, before we delve deeply into the details of models and quantitative analytics, it should be helpful to first get a big picture overview of the fundamental concepts of risk, of the main schools of thought in risk analysis and of the stakeholders who shape the framework within which financial institutions must manage their exposures.

We will discuss the general principles of risk management as defined by ISO 31000/2009, look at risk specific terminology in mathematics, industry and in the financial sector and even consider the content and reference framework of other risk management credentials, such as the GARP-FRM for example. You are going to spend six months studying hard for this Risk Management Certificate. We want you to be certain that you are taking the right class for your needs!

Unit 3 will already get more specific about the diversity of risks that retail banks face generally, and those that arise in microfinance operations in emerging markets and developing countries in particular. As a first step, one must try to bring some conceptual order to the many different dimensions of risk that we hear about in connection to financial services. The worst is to be blindsided by unknown unknowns, i.e. by potential losses arising from categories of uncertain events that we do not even have on our radar. This would mean that we also do not have processes and tools in place to measure and mitigate these exposures. Therefore, it is critical to set up a high-level risk map that is as broad and all-inclusive as possible and provides a terminological anchor for any and all possible risk exposures: Have you thought about the risk of loan officers using physical intimidation to collect from micro-borrowers and a journalist picking up on this and turning it into a national news story on the abuses of microfinance and many more clients now refusing to pay these microcredit bandits as a consequence? Yes, that's covered. It is called the reputational dimension of operational risk and it relates to the adherence of staff to documented policies and procedures. This should be picked up during internal control site inspections or through the client complaint hotline. With a view to establishing such a high-level risk map, this unit will guide us through an initial review of the financial services risk landscape including credit transaction and credit portfolio risk, liquidity, interest rate risk, foreign exchange rate risk, currency induced credit risk, operational risk (including reputational risk, compliance, AML/CFT), capital adequacy and covenant risks.s)

Here, it will get more specific in respect to the particular framework for dealing with risk in financial institutions. Conscious and well controlled risk-taking is the natural role of financial institutions and the way they add value in modern society. Therefore, risk management should be job number one for the owners. From there, the governance of risk should cascade down via the Board of Directors to the executive management level. Since financial institutions typically intermediate multiples of other people's money relative to equity, the self-preservation instinct of owners may not be enough to keep risk taking at reasonable levels. Central banks, national supervisory authorities and self-regulatory organizations thus intervene with consumer protection rules, prudential regulation and best practice standards and try to constrain risky positioning and limit external effects on depositors and the wider economy.

The unit introduces the regulatory framework and various sources of guidance on risk management best practices in financial institutions including the Basel Committee on Banking Supervision, central banks, national regulators, as well as cooperative and other self-regulatory mechanisms. We will also look at specific microfinance industry guidance from sector associations and international microfinance networks, donor associations, CGAP etc.

This unit will also discuss in detail how retail banks and microfinance institutions may implement these governance principles from an organizational perspective, i.e. how to practically ensure appropriate board-level risk oversight, how to define the roles and responsibilities of internal audit, compliance and the executive-level risk committee, and how to position a chief risk officer and the risk management unit etc.

Unsurprisingly, this will be the single biggest unit in the course with the greatest number of analytical tools, the most homework and some of the most interesting number crunching. We will talk about credit transaction versus credit portfolio risk and about organizational principles of credit risk management in SME lending, micro-enterprise finance and consumer credit. Portfolio risk management always starts with a keen eye on concentrations and the need for effective ex-ante diversification and some macro-exposure budgeting. From there, we will study traditional portfolio performance diagnostics: such as arrears aging schedules, vintage curves and the transition matrix. We will also spend much time on the data requirements for predictive credit modeling and the development of a comprehensive client data strategy that will enable targeted marketing and credible development impact reporting.

Assuming that we have consistent socio-demographic, financial and credit history data on our clients, we will build statistical models for the probability-of-default and loss-given-default parameters. Here, you will work on real loan portfolio data and will learn step-by-step how to clean up and standardize data, how to code variables and how to calculate a functioning statistical application score. The same analytical apparatus will then be used to develop a behavioral scoring model, such as a collections scoring, for example. A collections score will help you decide which clients in arrears might be most responsive to which type of arrears management actions. We will also discuss a detailed borrower and facility rating model for SMEs in emerging and developing markets. And finally, with good estimates for the basic portfolio risk parameters in place, we can now put it all together in a risk-based pricing model.

Interest rate risk follows close on the heels of liquidity risk. Interest rate risk (in the banking book) is essentially about differences in the timing and degree by which unexpected changes in the level of wholesale market interest rates will be absorbed into the product rates charged to clients and paid on the funding instruments raised by the institution. We will do some finger exercises in financial math as we revisit time-value-of-money concepts that are at the heart of the interest rate risk "problem". We then take some conventional interest rate risk measurements, i.e. re-pricing gap reports by currency, basis-weighted repricing gaps, duration weighted gaps, and net interest income simulation. Once we can quantify the interest rate risk exposure, one can proceed to determining interest rate risk limits and discussing rate risk actions that can manage interest rate risk back within acceptable limits. These actions will include alignments on treasury assets and liabilities, changes to the origination of client contracts and some simple overlay transactions using financial derivatives.

Liquidity is the classic survival skill for financial institutions of all types and sizes. By way of introduction, we will study the sources of liquidity risk and the curious non-linear behavior of liquidity. We will then discuss the organization of liquidity management and define the roles and responsibilities of a treasury manager or finance director vis-à-vis that of the risk manager as it relates to liquidity and the short-term investing and borrowing activities of the institution. We will measure liquidity on the balance sheet using various ratios and develop detailed cash flow forecasts. The single biggest challenge in liquidity is the study of depositor behavior under normal and under stressed market circumstances. This type of core deposit analysis requires some statistical analysis and modeling, which will be developed in detail in the course.

Operational risk is the summary term for any and all potential losses that may arise from external events and internal failures of people, processes and systems. Many aspects of operational risk in microfinance are closely related to credit risk and also manifest themselves in unrecoverable loans. We will deal with this type of operational risk in the credit process in great detail in the course.

Further, we will study operational risks associated with vault cash handling and book money processes. Business continuity planning for microfinance is another critical operational risk topic that is sometimes neglected in microfinance. We will then take a detailed look at how to best organize the control of such a vast field of potential loss events as may arise from operational risk. A loss event database with some internal audit / internal control workflow functionality can be a great tool for organizing the many operational risk anecdotes and for identifying and tracking key risk drivers.

This unit will deal with the impact on financial institutions earnings and equity value arising from unexpected exchange rate changes. It will also touch on related convertibility and transfer risks which are particularly relevant in developing and emerging markets. You will learn how to measure basic forex exposure by determining current and future open positions. When we combine an open position with an estimate of how much a currency might realistically fluctuate over a certain period of time, we can obtain a confidence interval of maximum losses from forex risk, the so called value-at-risk. We will also study the implications of using a foreign functional currency (e.g. the USD in Cambodia) and of dealing with currency risk more broadly in the context of partial or full dollarization. This will lead us to structural forex positions, currency-hedged equity and the issue of managing currency-induced credit risk at the client level. As always, we will work through the full risk cycle from identifying the different types of risks associated with the use of multiple currencies, quantifying these exposures, establishing acceptable limits for each and understanding the instruments at our disposal to manage exposures back into compliance with those limits.

Now that we have worked through the many analytical tools for keeping tabs on each of the risk areas, we need to assemble all the various components into a policy framework that will help you put best practice risk management to work in your institution. Here, we propose templates for the definition of roles and responsibilities and policy drafts that document best practice risk management. These templates can easily be scaled and customized to the size and complexity of your institution. Risk management really only works, if it is itself a disciplined, documented and audited procedure that is woven right into the fabric of all business activities of the institution. In short, these policies describe the organization of risk management, specify the analyses and tools used to quantify risk, summarize prudential, internal and covenant limits that apply to exposures and describe the allowable actions and instruments to manage exposures within the limits.