Please Note:
The May 2020 intake is now open – Register today!
Accreditation and MQF level
A CPD Award accredited with 6 ECTS credits (MQF Level 6) by the National Commission for Further and Higher Education (NCFHE) in Capital and Risk Management will be presented to delegates who successfully attend all modules and obtain a minimum pass in a 3 hour examination.
Course Duration and Examination Date
This course is made up of 11 evening sessions (17:30 till 20:45), from May to July 2020.
Entry Requirements
Diploma or Tertiary level education within risk management or banking and finance subject.
Venue
Tower Training Centre
Lower Ground Floor, Tower Business Centre, Tower Street, Swatar, Malta. (view map)
(Free parking available at level minus 5)
Course Outline & Dates
Module 1: Risk and Risk Management – The Foundations
Dates: 13th and 20th May 2020
Time: 17:30 till 20:45
ECTS credits: 1
Trainer: Mr. Patrick Spiteri Swain
The learner will be able to:
- understand and outline the related concepts of risk and uncertainty.
- list and understand the different types of risk.
- describe various risk measurement or modelling techniques.
- categorise risks according to probability of occurrence and severity of impact.
- understand the provenance and limitations of risk computations.
- understand the difference between repeated sample outcomes and outcomes from restricted samples.
- understand the differences between situations where ordering makes a difference and those where ordering doesn’t (permutations Vs combinations).
- assess which risk classes and categories require his/her intervention and what risk mitigation techniques exist.
Module 2: Quantitative Risk Analysis
Dates: 27th May and 3rd June 2020
Time: 17:30 till 20:45
ECTS credits: 1
Trainer: Mr. Julian Cardona
The learner will be able to:
- understand the mathematical and statistical concepts of risk.
- distinguish between qualitative and quantitative measures of risk and to know how conversion from one to the other can take place.
- differentiate between classical and Bayesian probability.
- simulate events with ascribed risk weightings.
- describe a probabilistic distribution and to simulate it using a computer.
- describe and compute the moments of the data underlying a specific risk-related variable.
- understand integrative and differential calculus and to simulate it using a computer.
- understand Regression Analysis in the context of risk (applied in MS Excel).
- understand and use Forecasting Techniques (applied in MS Excel).
- comprehend CAPM & Black-Sholes Model (applied in excel) as well as their limitations in practice.
Module 3: Advanced Market Risk Management
Dates: 10th and 17th June 2020
Time: 17:30 till 20:45
ECTS credits: 1
Trainer: Mr. Patrick Spiteri Swain
The learner will be able to:
- Identify and explain sources of interest rate risk in fixed income securities and compute standard measures of such risks including first and second order approximations as well as full revaluation of securities.
- Compute various estimates of volatility and calibrate model parameters to fit financial returns (applied in MS Excel).
- Apply industry standard risk measures including Value-at-Risk to linear and non-linear risk exposures.
- Evaluate computationally various metrics and understand the risks involved in using such measures (applied in MS Excel).
- Hedge equity, FX and interest rate risk using derivatives (applied in MS Excel).
- Understand the basis and apply extreme value theory.
Module 4: Capital Management and Basel III
Dates: 24th June and 1st July 2020
Time: 17:30 till 20:45
ECTS credits: 1
Trainer: Mr. Raniero Polidano
The learner will be able to:
- understand the basic principles emanating from Basel III, with specific emphasise on those relating to capital and liquidity requirements
- calculate a credit institution’s level of regulatory capital
- understand the rationale for stress testing in the Banking Industry and the process thereof
- understand the working for the ongoing capital requirements of credit institutions, what risks such requirements cover
- The distinction between capital and liquidity requirements will be explained in detail, and the learner will also understand the objective and workings required to calculate the LCR and the NSFR
Module 5: Advanced Credit Risk Modelling and Management
Dates: 8th, 15th and 22nd July 2020
Time: 17:30 till 20:45
ECTS credits: 2
Trainer: Mr. Julian Cardona
The learner will be able to:
- Identify and analyse credit risk faced by an entity.
- Describe in detail the features of a credit loss distribution and its implications on portfolio management.
- Develop advanced risk models including the Merton Model, Copula Models and Credit VaR.
- Design and calibrate the Internal Rating Based (IRB) capital allocation model.
- Calculate the PDs and LGDs in a portfolio.
Trainers
Mr. Raniero Polidano
Raniero Polidano graduated with an Bachelor of Commerce (Honours) in Economics in 2007 and later obtained a Masters of Arts in Economics from the University of Malta in 2009. Raniero worked for the Central Bank of Malta for almost 12 years in the Financial Stability Department in the areas of risk assessment, microprudential and macroprudential policy and crisis management. Mr. Polidano joined the Compliance Unit within APS Bank p.l.c in recent years.
Mr. Patrick Spiteri Swain
Mr. Spiteri Swain is the Chief Officer Treasury at Bank of Valletta plc since 2015. He has been the Executive Head of Financial Markets and Investments at Bank of Valletta plc from 2008 and 2014. Mr. Spiteri Swain has vast experience of tutoring and lecturing the ACCA F9 Module: Finance Management and is a well-respected qualified Chartered Financial Analyst. He has also holds qualifications in ACIB, MSc Financial Management (London). Mr. Spiteri Swain is a specialist in Financial Risk Management, Fixed-income portfolio management and Bank Asset & Liability Management.
Julian Cardona
Mr. Julian Cardona is statistician and a lecturer in Investment Management, Corporate Finance & Risk Management by profession. Mr. Cardona is an experienced Risk Officer Specialist, having worked for a prestigious bank on the island with particular focus on Operational Risk Analysis, Liquidity Risk Analysis, Concentration Risk Analysis and ICAAP related work.
Course Funding Options
For Individuals
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GET QUALIFIED SCHEME
Candidates can benefit from a 70% rebate of the course fee via tax credit. Get Qualified is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry.
Learn more about this scheme »
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TRAINING PAYS SCHEME (TPS)
Eligible candidates satisyfing a list of criteria can benefit from a 75% rebate on direct training cost.
Learn more about this scheme »
Lead Training Services is licensed by The National Commission for Further and Higher Education as a Further and Higher Education Institution.
(License Number: 2013-FHI-021). 