In this course you will gain hands-on experience in quantitative methods applied in the Financial Risk Management. You will explore different areas of the risk management using statistical and analytical tools used by the industry and solve problems taken from real-world situations.
You will learn how to simulate evolution of market factors, how banks predict default rate using social networks, how to predict behavioral patterns of the customers and use that information to manage interest rate and liquidity risk or how to include machine learning method into various areas of risk management and much more
Course title: Applied Operational Research in Business Consulting
Course code: TBD
Course date and time: 13 – 16 May 2019 9.15-14.15
Course location: Room TBD, University of Economics
Course accreditation department: Department of Econometrics at Faculty of Informatics & Statistics
ETCS credit allowance: 3
The subject will be classified as an optional subject (program-specific)
The language of the course will be either Czech or English, depending on participants’ preferences
Module 1 : Introduction to Risk Management & Banking
Module 2 : Risk Measurement
Module 3 : Operational Risk – Measuring human error
Module 4 : Yield curve construction crash course
Module 5 : Market Risk – VaR simulation methods
Module 6 : Liquidity Risk – Modeling customer behavior
Module 7 : Credit risk – the biggest fear of Czech banks
Module 8 : Client approval process (scoring and rating)
Module 9 : Collection process
Module 10 : Machine Learning in Risk Management
Module 11 : Global Financial Crisis
Module 12 : Risk Management Failures - Case Studies
Tomas is director in EY's Credit Risk department. Tomas is focused on credit risk modeling and loan loss provisioning.
He led several project for major European financial institutions in area of loan impairments modelling and stress testing.
Senior manager at EY specializing in credit risk management and effective collection processes. President of Association of Collection Agencies.
Jiri is senior consultant in EY's Market Risk department.
Jiri focuses on model validation and yield curve modelling. Jiri gained experience in projects for major UK and US banks.
Technology innovations, changes in business models, growing customer and shareholder demands and new regulatory requirements. Finance is undergoing fundamental changes and we help banks, insurance companies and investment funds coping with the challenge.
We work in the Czech Republic, in central Europe but we increasingly provide our advisory to finance people all over the globe. Sometimes it is an end-to-end solution, sometimes only a brief consultation. We are able to come with creative ideas, look at the issue coldly, devise a workable solution, explain it to the client and also create the solution for him.
We are Financial Services Advisory, fresh university graduates and also experienced matadors, highly specialized experts, universals, managers, statisticians, mathematicians, lawyers and programmers, we are a team of 125 people who do the right things.