• Certified in Quantitative
    Risk Management - CQRM

The IIPER-CQRM is an international certification awarded by the IIPER. It is aimed at managers, directors, professionals, analysts, and scholars interested in acquiring up-to-date and practical knowledge in risk management from a quantitative approach to measure risk and make informed decisions.

The CQRM (Certified in Quantitative Risk Management) is an international certification awarded by the IIPER. It is aimed at managers, directors, professionals, and analysts of the governmental, business, financial, and academic sectors interested in acquiring up-to-date and practical knowledge in risk management from a quantitative approach to measure risk and make decisions.

The certification course will last four days in which the participants will study with Prof. Dr. Johnathan Mun, and other global experts, advanced topics and practical applications of risk management. Upon completion, a validation of knowledge will be conducted to obtain the CQRM title.

By participating in the certification, attendees will have elements to analyse and will interpret data for risk measurement, understand the results obtained and suggest and make decisions based on the Monte Carlo risk simulations, statistics and econometric analysis, optimisation, and real options applicable to their projects or investments.

Why attend this certification?

  • To be certified internationally as a Quantitative Risk Manager (CQRM-IIPER).
  • The opportunity to learn from world experts who have outstanding credentials and extensive practical experience.
  • Understand how to make more informed decisions in times of uncertainty and achieve better business outcomes.
  • Learn about the latest theoretical approaches and practical applications for risk analysis and management.
  •  Update and immerse yourself in techniques that allow you to understand the past and the present and more accurately forecast the future.
  • To model industry-specific problems and implement risk analysis using Risk Simulator, Real Options SLS, and PEAT tools, capable of analysing large volumes of information and working with the latest implementation of risk management analytics.

Topics & Framework

  • MODULE 1: Introduction to Risk Analysis
  • MODULE 2: Monte Carlo Simulation with Risk Simulator
  • MODULE 3: Advanced Simulation Techniques
  • MODULE 4 Simulation and Analytical Tools
  • MODULE 5: Optimization with Risk Simulator
  • MODULE 6: Forecasting
  • MODULE 7: Real Options Analysis: Theory and Background
  • MODULE 8: Real Options Analysis: SLS (Super Lattice Solver) Application
  • CQRM REVIEW FOR THE EXAMINATION
  • CQRM EXAM

    • View all Topics >

Application of CQRM Knowledge in your industry

IIPER Corporate

Optimize and diversify the risk of an investment portfolio to maximize the financial profitability of the projects (VAN, TIR, ROI, RAROC) and the results of the investment. Create analysis of alternatives for risk reduction and improvement of growth opportunities, acquisitions, diversification, Joint Venture, outsourcing, project schedule, and project cost risk. Evaluate stock management, logistics management, and average time between failures.

IIPER Military

Use traditional financial and economic analysis to assess, prioritize, and optimize the public sector, government, nonprofit organizations, public finances, and military projects (portfolio acquisitions, advanced weapons research) in uncertain conditions. Evaluating value for society, forecasting demand, making a hierarchical analysis of society's needs, an analysis of alternatives, decision analysis, portfolio mix, and risk reduction.

IIPER Finance

Credit and microfinance analysis, compensation of executives (ESOP), financial and business valuation, exchange rate hedges, interest rate hedges and inflation immunization, investment valuation, and investment portfolio optimization. Identify and model the likelihood of occurrence of risk events, perform hypothesis tests to see if certain risk reduction and mitigation programs are, in fact, effective, and adjust data to distribution curves to identify their probability and impact.

IIPER Oil

Identify and model the likelihood of occurrence of risk events (e.g., the need for spare parts, insufficient spare parts available, downtime, uptime, accidents, average operating time of equipment before failure, the maintenance program, breakdowns, temperature control, and extreme vibration modeling). Optimize and diversify the risk of capital infrastructure processes, joint ventures, portfolio mix, pre-investment analysis, and price prediction (outputs of raw material).

IIPER Real

Development of mixed use of real estate, obtaining the optimum moment of an investment in real estate through a process of simulation of scenarios, property valuation management including the present uncertainty in the price of the infrastructure investment components and their volatility over time.

IIPER Insurance

Learn how to perform an optimal management of assets and liabilities considering the effects of uncertainty in decisions, such as structuring coverage portfolios, and how to calculate insurance premiums by doing simulation analysis, how to perform Immunization in an Investment portfolio.

IIPER Pharmacy

Learn how to perform an optimal analysis of market risk inherent in the pharmaceutical industry, perform a process of patent valuation considering effects of uncertainty, valuation of sequential investments by phases and the optimal time of execution of these phases, calculate probability of technical success in the biotechnology industry, and evaluate opportunities spin-off.

IIPER Telecomunications

Perform valuation of mergers and acquisitions processes considering and modeling all the risks present in this activity and in the sector, obtaining the optimal selling price, performing a pre-investment analysis and capital infrastructure modeling the uncertainty through an analysis of risks that allow us to make reliable decisions.

IIPER Health

Perform actuarial analysis using simulation methods, such as evaluating health insurance, methodological procedures according to the health reform law, performing the hospital risk management process considering simulation procedure, resource optimization applications and modeling of processes in technology medical.

IIPER Services

Identify the impact of all key variables, make an analysis of scenarios to model and identify effects on the variables of interest in the face of changes in prices and / or costs, adjust operational risk data with probability distributions, and make predictions of energy demand and types of generation, inputs, and materials online.

IIPER Banking

Learn how to model risk and uncertainty using Monte Carlo simulation and making use of probability distributions. Improve growth opportunities by making use of forecasting techniques and predict variables such as profitability and volatility. Understand the different analytical tools and how they can be used for the modeling of credit risk, market risk, liquidity risk, and operational risk.

IIPER Information

Perform assessment of procurement processes considering and modeling all the risks present in the sector, cost reduction using optimization processes, information security risk management, and technology mix, and assess the effect of technology updates over time.