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CQRM Risk Management


Energy Institute

Summary

Price
£2,650 inc VAT
Or £220.83/mo. for 12 months...
Study method
Online
Duration
4 days · Self-paced
Access to content
Access until course completion
Qualification
No formal qualification
CPD
35 CPD hours / points
Additional info
  • Tutor is available to students

1 student purchased this course

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Overview

This 4-day CQRM - Certified in Quantitative Risk Management training course will teach delegates how to acquire updated and practical knowledge in risk management from a quantitative approach to measure, analyse and make decisions.

CPD

35 CPD hours / points
Accredited by Energy Institute

Description

Become part of the global network of Quantitative Risk Management professionals. The CQRM (Certified in Quantitative Risk Management) is an International Certification awarded by the International Institute of Professional Education and Research (IIPER). It is aimed at managers, directors and analysts of the governmental, business, financial and academic sectors interested in acquiring updated and practical knowledge in risk management from a quantitative approach to measure, analyse and make decisions.

The certification will last four days in which the participants will learn from 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 interpret data for risk measurement, understand the results obtained as well as 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, 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.

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FAQs

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