Buzz about data science and artificial intelligence is everywhere. Under the hood is a
tremendous success of Statistics and Computer Science. We discuss how the scientific method is quickly becoming essential in many
industries, and banking in particularly. We explore how students with developed research skills can benefit from this.
We present examples of models and tools our group has built to measure customer value and predict their behaviour.
Ivan Sergienko is Director of Data Science &
Analytics at Scotiabank. In his current
role, Ivan leads a group of modellers making
advanced customer analytics available to
management and sales teams. The best part of
his job is being able to leverage academic
partnerships and his team’s diversity of
knowledge and backgrounds to solve real-life
business problems. In his previous
appointments with the bank Ivan developed
models and policies for managing
counterparty credit risk for traded
products. Prior to joining Scotiabank, Ivan
held research positions at Oak Ridge
National Laboratory and Memorial
University. In addition to his Ph.D. in
Physics, he holds a Chartered Financial
Analyst designation.
Joe Campolieti and Adam Metzler (Hosts of the speaker,
Multidisciplinary Talk, Tectons 7, 4, and others)
Refreshments will be provided
