risk management | data analytics | visualization
IMAGE: MASHABLE COMPOSITE
Date: September 2015
In previous years, banks have significantly invested in the development of tools and methodologies for the identification and measurement of risk from simple "traffic lights" measures to more advanced stochastic models. Accordingly, the whole process entails a significantly increased number of daily / weekly / monthly data and complex implementation and integration of databases. In addition, the financial crisis has opened a "Pandora's box" on the subject of management, accuracy, time availability and quality of data. The regulatory response is the substantial increase in the volume of reports that banks must meet and in a much shorter time, both on a consolidated and individual basis. In addition to regulatory pressures and narrower market as a result of the financial crisis, the need for additional quality information is increasing which in turn dictates the need for timely analysis of data at a much higher and multi-dimensional level. Not leveraging the available data and process optimization prevents the institution the same level playing field in the market and regulatory compliance. Optimization, or even complete automation of the reporting process greatly contributes to the improvement of business processes in both cost optimization and faster, more accurate decisions based on the analysis of data in real time.
The aim of the seminar is to show the complete process from data aggregation and integration to the practical side of the reporting process.
VISUALIZATION AS A TOOL
Annex I - [BCBS239] Principles of Effective Risk Data Aggregation and Risk Reporting
Annex II - Reference
Credit Risk Scoring
STATISTICAL METHODS FOR CREDIT SCORING
MODEL DEVELOPMENT PROCESS
PRELIMINARY ANALYSIS OF FINANCIAL DATA
METHODS FOR MODEL SELECTION
METHODS FOR MODEL INFERENCE
APPLICATION OF RATING MODEL WITHIN CREDIT DECISION
Statistical Programming and Credit Risk
THE R LANGUAGE
VISUALIZATION IN R
Modeling Probability of Default
FinMetrika, established in 2004, provides consulting services and software solutions in the area of risk management, predictive analytics, advanced analytics of large data sets and technical solutions for all levels of the reporting processes. Solutions created are based and supported by many years of experience, both operational and management, gained on projects encompassing analysis of large and complex data sets, quantitative modelling in the area of credit risk management, scoring models implementation, dynamic software solutions for real-time reporting and many more.
Our goal and mission is to transform the idea into actionable solutions and help our clients achieve the desired goal.
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