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CQRM Certificate

OSL Risk Management brings to the United Kingdom and Europe the Certified in Quantitative Risk Management (CQRM) in a joint venture with the International Institute of Professional Education and Research (IIPER) and Real Option Valuation Inc. The CQRM certification includes 4-Day intensive Integrated Risk Analysis workshop, complete the requisite in-class work in Risk Identification, Modelling and Simulation, Integrated Risk Management Process, Analytical Tools, Optimization, Forecasting, Real Options Analysis, and obtain the fully-accredited Certified in Quantitative Risk Management (CQRM) designation offered by the International Institute of Professional Education and Research (IIPER).

cQRMIIPER’s CQRM certification is accredited by the National Certification Commission and IIPER is a member of the prestigious AACSB (Association for the Advancement of Collegiate Schools of Business). AACSB is one of the largest U.S. accreditation agencies recognized by the U.S. Department of Education, and has over 500 business schools around the world as its members. IIPER’s International Standards Board comprises professors from various universities including Lehigh University (Pennsylvania), University of Applied Sciences (Switzerland), Naval Postgraduate School (California), University of Missouri (Kansas City), and others. IIPER also has strategic alliances and collaborations with various research institutions globally.


PMI” logo are registered marks of Project Management Institute, IIPER Logo are registered copyright © 2016 of The International Institute of Professional Education and Research (IIPER)®

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  • PMI Approval - Project Management Institute (PMI) and participants can also obtain 30 Professional Development Units (PDU) upon completion of the course
  • Accredited by the National Certification Commission and IIPER is a member of the prestigious AACSB (Association for the Advancement of Collegiate Schools of Business)
  • Quantitative risk-based thinking technique fulfilment to pursue or maximize the potential of other professional accreditations (project management, information security, financial analyst, internal auditing, financial risk management, ISO31000, and so forth)


PMI” logo are registered marks of Project Management Institute, IIPER Logo are registered copyright © 2016 of The International Institute of Professional Education and Research (IIPER)®

The key advantages of attending one of our seminars are as follows:

  • Obtain the Certified Quantitative Risk Management (CQRM)
  • Learn from real experts in the field with the best credentials and hands-on expertise and experience, not from a group of unqualified trainers.
  • Get it straight from the source! The main seminar instructor is the creator of the Risk Simulator and Real Options Super Lattice Solver (SLS) software, the author of 10 books on the topics of risk modelling, real options, and valuation. He is also a professor in finance and economics, a consultant to many multinationals, and is known globally for his expertise in risk analysis and real options.
  • Get free books, training models and examples, videos, course slides, and many other getting started materials.

MODULE 1: Introduction to Risk Analysis
Chapter 1: Introduction to the Training and what to expect
Chapter 2: How Are Business Decisions Made?
Chapter 3: What is Risk and Why Should Risk be Considered?
Chapter 4: Overview of Risk Analysis Software Applications

MODULE 2: Monte Carlo Simulation with Risk Simulator
Chapter 1: Overview of Risk Simulator Software
Chapter 2: Profiling, Assumptions, Forecasts and Running Simulations
Chapter 3: Interpreting the Forecast Statistics
Chapter 4: Simulation Run Preferences and Seed Values
Chapter 5: Running Reports, Saving and Extracting Simulation Data

MODULE 3: Advanced Simulation Techniques
Chapter 1: Correlating and Truncating Distributions
Chapter 2: Alternate Parameters
Chapter 3: Multidimensional Simulations
Chapter 4: Distributional Fitting
Chapter 5: Due Diligence and Pitfalls in Simulation

MODULE 4: Simulation and Analytical Tools
Chapter 1: Static Tornado and Spider Charts
Chapter 2: Dynamic Sensitivity Analysis and Scenario Analysis
Chapter 3: Hypothesis Test on Different Distributions
Chapter 4: Nonparametric Bootstrap Simulation

MODULE 5: Optimization with Risk Simulator
Chapter 1: Introduction to Optimization
Chapter 2: Continuous Optimization
Chapter 3: Integer Optimization

MODULE 6: Forecasting
Chapter 1: Overview of Forecasting Techniques and Data Types
Chapter 2: Forecasting Without Data
Chapter 3: Time-Series Analysis Forecasting
Chapter 4: Nonlinear Extrapolation
Chapter 5: Multivariate Linear and Nonlinear Regression Analysis
Chapter 6: Stochastic Processes
Chapter 7: Advanced Forecasting: Box-Jenkins ARIMA and Auto ARIMA, GARCH, J-Curve, S-Curves, Markov Chains, Data Diagnostics, Statistical Properties, Basic Econometrics

MODULE 7: Real Options Analysis: Theory and Background
Chapter 1: Real Options: What, Where, Who, When, How, and Why?
Chapter 2: Sample Applied Business Cases
Chapter 3: Overview of Different Options Valuation Techniques
Chapter 4: Risk-Neutral Probability Technique
Chapter 5: Solving a Basic European and American Call Option
Chapter 6: Using Excel to Solve a Basic European and American Call Option
Chapter 7: Abandonment, Expansion, Contraction, and Chooser Options

MODULE 8: Real Options Analysis: Application with SLS Software
Chapter 1: Overview of the Different SLS Modules and Volatility Estimates
Chapter 2: Volatility Estimates
Chapter 3: Options with Changing Inputs and Customized Exotic Options
Chapter 4: MSLS: Multiple Sequential Compound Options
Chapter 5: MNLS: Solving Mean-Reverting, Jump-Diffusion, and Dual-Asset Rainbow Options using Trinomial, Quadranomial, and Pentanomial Lattices
Chapter 6: Framing Real Options—Structuring the Problem
Chapter 7: The Next Steps…

Dr. Johnathan Mun is the software’s creator and teaches the Risk Analysis, Real Options for Analysts, Risk Analysis for Managers, CQRM, and other courses. He has consulted for many Fortune 500 firms (from 3M, Airbus, Boeing to GE and Motorola) and the government (Department of Defense, State and Federal Agencies) on risk analysis, valuation, and real options, and has written a number of books on the topic, including Real Options Analysis: Tools and Techniques, 1st and 2nd Edition (Wiley Finance, 2005, 2002); Real Options Analysis Course: Business Cases (Wiley Finance, 2003); Applied Risk Analysis: Moving Beyond Uncertainty in Business (Wiley, 2003); Valuing Employee Stock Options Under 2004 FAS 123 (Wiley Finance, 2004); Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting and Optimization, 1st and 2nd Edition (Wiley, 2006, 2010); Advanced Analytical Models: 800 Functions and 300 Models from Basel II to Wall Street and Beyond (Wiley 2008); The Banker’s Handbook on Credit Risk: Implementing Basel II (Elsevier Academic Press 2008); and others.

He is the founder and CEO of Real Options Valuation, Inc., and is responsible for the development of analytical software products, consulting, and training services. He was formerly Vice President of Analytics at Decisioneering, Inc. (Oracle), and was a Consulting Manager in KPMG’s Global Financial Strategies practice. Before KPMG, he was head of financial forecasting for Viking, Inc. (an FDX/FedEx Company). Dr. Mun is also a full professor at the U.S. Naval Postgraduate School and a professor at the University of Applied Sciences and Swiss School of Management (Zurich and Frankfurt), and he has held other adjunct professorships at various universities. 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). 

Decision maker, managers, researcher, practitioner, and professionals who want to obtain the fully-accredited Certified Quantitative Risk Management (CQRM) for implement concepts, models, and techniques related to risk modelling, real options, and valuation in Financial and insurance, Oil and gas, Electricity, Construction, Agriculture, Manufacturing, Mining, Consulting and professional services, Health management, Aerospace, Technology and telecommunications, Logistics, Transportation and Storage, Education and research, Public administration and defence, Real state, Utilities, Food services, among others.

Also, please contact for further details, pricing, quotes, or especial requirements.

Risk Simulator

It is a powerful Excel add-in software used for applying simulation, forecasting, statistical analysis, decision trees, econometric analysis, and optimization in your existing Excel spreadsheet models. Risk Simulator was developed specifically to be extremely easy to use. For instance, running risk simulations is as simple as 1-2-3 (set an input, set an output, and run); and performing forecasting (i.e., Auto-econometrics, GARCH models, Stochastic Processes, Time-Series, Multivariate analysis, and so forth) relies on simple clicks in the software. Users are more focused on the analysis, reports, and numerical results.

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Real Options SLS

It is standalone software with Excel add-in for analyzing and valuing real options, financial options, exotic options and employee stock options. With Real Options SLS, all inputs could be incorporated into custom spreadsheet models, allowing creating your own “à la carte” fully customized models, where all the mathematical equations and functions are visible. Consequently, option valuations and results are easier to understand and explain, especially, allowing users valuing to financial and real assets, quantifying flexibility, and mitigating uncertainty.

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Modeling Toolkit

Modeling Toolkit is a unique technology that comprises over 1100 advanced analytical models, functions and tools, and about 300 analytical model Excel/SLS templates and example spreadsheets covering the areas of risk analysis, Six Sigma valuation, Decision Analysis, simulation, forecasting, Basel II and Basel III risk analysis, debt analysis, credit and default risk, among other statistical models.

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ROV Peat

Project Economics Analysis Tool (PEAT) is an IT solution to perform an integrated risk management analysis on corporate investments and financing strategies (Dynamic Discounted Cash Flows). PEAT’s users can introduce multiples assumptions, auto-generate cash flow statements on multiple projects, obtain KPIs and financial metrics (NPV, IRR, MIRR, PP, DPP, ROI), and run risk simulations and sensitivity analysis. As information systems, PEAT compares multiple projects; draws multiple investment pathways, implements advance forecasting and real options valuations, optimizes the portfolio subject to multiple constraints, and presents the results in management dashboards and reports.

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What are the terms and conditions for the CQRM?
  • Student or Academic registrations: Attendees must provide proof of the university status at the time of booking to qualify for price discounts.
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • In some cases, delegates are provided with temporary licences for the advanced analytics software used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, we can also provide laptops for a small daily charge).
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
  • 100% fee returned for cancellations made over 28-calendar days prior the start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.
  • The number of delegates is limited. Please register early to guarantee your place.

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