This document provides a general overview of the Certified in Risk Management course that is rapidly approaching. In this CQRM course, we will be covering the detailed concepts of Integrated Risk Management (IRM) techniques, which will include a quantitative Monte Carlo Risk Simulation, stochastic forecasting and predictions, project portfolio selection and optimisation, business intelligence analytics, and strategic real options valuation. This will be a rigorous and detailed course with a lot of hands-on modelling and exercises, and you will leave the course with the capability to run these advanced analytics. During the course, we will also cover several case studies as well as other generic case studies of various multinationals so you can see how these advanced analytics are being used globally
The EURiskConvention is an event organised by the leading companies and institutions worldwide in the management, measurement, analysis and modelling of quantitative information in different business and academic fields. This event has become a key meeting point for professionals, researchers, directors and managers, to learn about the new trends in these topics in the region and share with international experts and local the different approaches, tools and innovations.
On this occasion, the participants will have a unique opportunity to learn about regional and global experiences in quantitative methods and risk management in sectors such as banking, finance, oil and gas, mining, health, defense, government, insurance, infrastructure projects, industry and commerce, among others.
Those who participate in this convention will also have the opportunity to take the CQRM (Certification in Quantitative Risk Management) certification given by Dr. Johnathan Mun, a world authority on the subject, among other globals experts and IIPER Certified Executive Trainers
Project Economics Analysis Tool (PEAT) integrates Risk Management analysis on Corporate Investments and Financial Strategies. PEAT helps companies to set up a series of projects or investment options, model their cash flows, simulate their risks, run advanced risk simulations, perform business intelligence analytics, run forecasts, optimise investment portfolios, and generate automatic reports and charts, all within a single easy-to-use integrated software suite.
ROV Knowledge Value Added (KVA) is a technology provided by OSL Risk Management in a joint venture with Real Options Valuation Inc. to model government and non-profit organizations’ projects valuations (Public Sector Analysis), value to society, or intangible value via the Knowledge Value Added methodology.
ROV PEAT Oil and Gas performs energy-industry models on analysing the economics of energy reserves and available resources based on uncertainty and risks, as well as generate oil-well–specific type curves and economics. Users can set up multiple projects or capital investment options, model different cash flows, run advanced risk simulations, performs business intelligence analytics, perform forecasting analysis, optimise portfolio management subject to budgetary and qualitative constraints, and generate managerial reports.
ROV Project Management managers and analysts drawing project pathways (simple linear vs. complex parallel, and projects recombination), auto-generating project models, entering projects estimates (cost and schedule and their spreads), running risk simulation to determine the probability of cost-schedule overruns, cost-schedule buffers at different probabilities of completion, identify critical path, and implement sensitivity analysis, among other aspects.
OSL Risk Management is a software, training, and consulting business, specialising in state-of-the-art decision and risk analysis tools and techniques. We help clients to analyse projects and make decisions so that they can identify, quantify, value, hedge, mitigate, and diversify risk, creating new business opportunities.