Norense Iyahen

What he does:
 Norense worked as a Quantitative Analyst at Exelon for three years. Exelon’s electric generation portfolio consists of a diverse mix of nuclear, coal, oil, gas, wind, and hydro units. Norense’s work involves modeling these different classes of units and their parameters. He has also worked on projects involving the longterm electricity price/demand forecasting. These models are used by a wide variety of people in the organization to make key decisions on how to optimally use the company’s generation portfolio.
Math on the job:
 Norense has found his Statistics courses (Mathematical Statistics and Data Analysis) and programming courses very useful at work. Knowledge of time series (which he learnt at work) is also very useful.
There are lots of highly trained Quantitative Analysts and Consultants in his industry. Some of these people have degrees in mathematics.
Norense's background:
 Norense grew up in Nigeria and Barbados. In high school, he was very interested in math and the sciences. At Swarthmore, Norense took economics and statistics classes that he found interesting.
Norense's advice to students:
 If you are majoring in mathematics, combine it with some area of application that you enjoy. Some knowledge of programming is also useful for many jobs.