Certified in Quantitative Risk Management (CQRM Accreditation)
CQRM training course will teach professionals how to acquire updated and practical knowledge in risk management from a quantitative approach to measure, analyse and make decisions.
Accelerate your professional career with the most advanced accreditation in Quantitative Risk Management. Methods and analytical tools to measure, analyse and make informed decisions.
Here are all the courses included in your CQRM bundle.
All Courses, CQRM Accreditation
The PRE-CQRM is an introductory course covering fundamental topics for the certification course, which will best prepare you for the CQRM examination.
All Courses, CQRM Accreditation
CQRM Level I covers the theory and application of Monte Carlo Simulation and Model Analytics.
All Courses, CQRM Accreditation
CQRM Level II course covers the theory, application, and hands-on modeling of optimization as well as predictive modeling and forecasting.
All Courses, CQRM Accreditation
This course in Real Options Analysis covers the theory, application, case studies, and hands-on modelling and valuation of strategic real options.
All Courses, CQRM Accreditation
This module will review all the materials for the CQRM certification course and help you prepare for the CQRM online examination.
All Courses
Once you finish all three CQRM levels, take a practice exam and the CQRM online examination, required for the CQRM Accreditation.
IIPER's CQRM certification is accredited by the US National Certification Commission, in collaboration with many international organizations. The IIPER is a member of the AACSB (Association for the Advancement of Collegiate Schools of Business), one of the largest accreditation agencies of business schools worldwide.
To be certified internationally in Quantitative Risk Management (CQRM-IIPER).
Take advantage of the opportunity to learn from world experts who have outstanding credentials and extensive practical experience in quantitative methods and risk management.
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 management and decision support .
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 analyzing large volumes of information, and to work with the latest implementation of risk management analytics.
📚 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
Prof. Dr Johnathan Mun | PhD, MS, MBA, BS, CQRM, FRM, CFC, MIFC
👨⚖️Chairman of OSL Analytics Academy (UK) and CEO of Real Options Valuation (US).
🏛 Dr Mun is the IIPER-CQRM’s Program Director coordinating worldwide executive programs and professional accreditations in quantitative methods and risk management and enhancing high-quality teaching across OSL Analytics Academy and among the IIPER Certified Trainers.
👨🎓 He has a Ph.D. in finance and economics, an MBA in business administration, an M.S. in the area of management science, and a BS in applied sciences. He is certified in Financial Risk Management (FRM), Certified in Financial Consulting (CFC), and Certified Quantitative Risk Management (CQRM).
👨🏫 As the software's creator, with more than 12 patents and 10,000 pages of copyrighted materials, he teaches Risk Analysis, Real Options for Analysts, Risk Analysis for Managers, CQRM, and other courses. He has written over 25 books on the topic of risk management. Dr. Mun has consulted many Fortune 500 firms and the U.S. Department of Defence.
📚 He is also a full professor at the U.S. Naval Postgraduate School and has held other adjunct professorships at various universities. In addition, he has published more than 200 academic articles in top well-know peer-review journals.
👍ResearchGate ProfileMonte Carlo Simulation Profile
⏰ 48 Hours, Online
There is a 90% probability that the completion time will be between 47.6 and 50 hours.
5-7 Hours, per week | Become CQRM Qualified 👩🎓