Remy Ladurantaye
About Remy Ladurantaye
Remy Ladurantaye is a Senior Actuarial Data Scientist at TD Insurance, with a background in actuarial science and data science. He has held various managerial roles in treasury and consulting across multiple organizations, including Intact and Sirius XM Radio.
Current Role at TD Insurance
Remy Ladurantaye serves as a Senior Actuarial Data Scientist in the Analytical Hub at TD Insurance. He has held this position since 2021, contributing to the company's data-driven decision-making processes in Montreal, Quebec, Canada. His role involves applying actuarial science principles and data analytics to enhance the organization's insurance offerings.
Previous Experience in Treasury Management
Prior to his current role, Ladurantaye worked in various treasury management positions. He was a Senior Manager Treasury at Sirius XM Radio Inc. from 2014 to 2017 in New York City. He then joined Yellow Pages / Pages Jaunes – Canada as a Senior Manager Treasury for a brief period in 2018. His experience in treasury management has provided him with a solid foundation in financial analysis and risk management.
Consulting Background at Towers Watson
Ladurantaye worked as a Consultant in the New Business Ventures and International Consulting Group (ICG) at Towers Watson from 2008 to 2014. This role, based in New York City, allowed him to develop expertise in consulting services, focusing on innovative solutions for clients in various industries.
Educational Background in Actuarial Science
Ladurantaye studied Actuarial Science at Concordia University, where he earned a Bachelor of Arts (B.A.) from 2006 to 2009. This educational background provided him with essential knowledge in risk assessment and statistical analysis, which are critical in the actuarial field.
Advanced Studies in Data Science
In addition to his undergraduate studies, Ladurantaye pursued further education in Data Science and Machine Learning at McGill University from 2019 to 2021. This program equipped him with advanced skills in data analytics and machine learning techniques, enhancing his capabilities as an actuarial data scientist.