Introduction to Quantitative Risk Management (iQRM) Seminar

May 31 – August 16, 2025
Time for all workshops: 9:00 – 10:30 am ET

The Introduction to Quantitative Risk Management (iQRM) Seminar workshops tour the material and cases that appear in our iQRM class. This allows beginners to get a preview of the class content and advanced quantitative students can see the applications of the tools presented and prepare to test out of the iQRM class by taking the iQRM waiver exam. Enrolled students are also welcome to attend to get a refresher.

Workshop info:

Saturday, May 31 | 9:00 to 10:30 am ET
Excel
In our first iQRM workshop we cover Excel. Excel is an amazing tool widely used for analytics, modeling, trading, and communication. This workshop starts with the basics and quickly moves on to more complicated Excel functions.

Saturday, June 7 | 9:00 to 10:30 am ET
Financial Math 1
Time value of money calculations are everywhere… Our personal plans and professional projects both span time. You must understand basic financial math to understand risk and value over time.

Saturday, June 14 | 9:00 to 10:30 am ET
Financial Math 2
We continue building a foundation with concepts such as normal distributions for stock returns and lognormal distributions for stock levels; continuous compounding, expected returns and the variance of returns.

Saturday, June 21 | 9:00 to 10:30 am ET
Probability 1
To manage risk, we must measure it. In this session we take our first steps in the mathematics of chance. We explore expected value, variance, and the variance of averages.

Saturday, June 28 | 9:00 to 10:30 am ET
Probability 2
In this session we continue building our foundation in probability by exploring the impact of correlation on the estimation of variance.

Saturday, July 12 | 9:00 to 10:30 am ET
Statistics 1
Statistics is the application of probability theory to data. Using statistical descriptions of data, you can determine the probability of events. We can also use the distributions that we understand to decide whether to reject hypotheses.

Saturday, July 19 | 9:00 to 10:30 am ET
Statistics 2
In this session, to solidify our understanding of hypothesis testing distributions, we construct those distributions and see how they derive from the normal distribution.

Saturday, July 26 | 9:00 to 10:30 am ET
Simulation
Simulation is a tool in risk management where we synthesize data we can’t get in order to make inferences about the variability of that data. Simulating data can also help us better understand the data we do have.

Saturday, August 2 | 9:00 to 10:30 am ET
Differential Calc
In mathematics, a derivative is a calculation of how much one variable changes when other variables change. In Risk Management, this is a concern that arises all the time… How much will a bond change in value if interest rates change? How much will a stock price change if a major stock index changes? How much will a company's probability of default change if sales change?

Saturday, August 9 | 9:00 to 10:30 am ET
Regression
Regression Analysis is a fundamental tool in science and risk management. In this session we explore the assumptions and mathematics necessary to use this tool.

Saturday, August 16 | 9:00 to 10:30 am ET
Exam
Click here at 9:00 am ET.