Derek Hulley
About Derek Hulley
Derek Hulley serves as the Manager of the Actuarial Data Lab at Intact, where he specializes in micro reserving and claims forecasting. He has extensive experience in machine learning and natural language processing, contributing to projects that enhance chatbot and voicebot technologies.
Work at Intact Financial Corporation
Derek Hulley has held the position of Manager, Actuarial Data Lab at Intact Financial Corporation since 2019. He operates from the Montreal, Canada Area and has accumulated five years of experience in this role. His responsibilities include overseeing projects related to natural language processing (NLP) and call quality, which aim to improve chatbot and voicebot technologies. Additionally, he is involved in the development and governance of machine learning models, focusing on Auto ML and Super Learning.
Education and Expertise
Derek Hulley has a strong educational background in finance and predictive analytics. He studied at HEC Montréal, where he earned a Master of Science (M.Sc.) in Finance/Economics. He furthered his education at Northwestern University, obtaining a Master of Science (M.Sc.) in Predictive Analytics. His expertise includes micro reserving and claims forecasting, which are key components of his work within the Actuarial Data Lab.
Background
Derek Hulley's professional journey has been marked by a focus on data-driven solutions within the actuarial field. His academic pursuits in finance and predictive analytics have equipped him with the necessary skills to excel in his current role. His work emphasizes the integration of advanced technologies in the insurance sector, particularly through the application of machine learning and artificial intelligence.
Achievements in AI and Machine Learning
Derek participates in the Best AI firm initiative, which aims to enhance artificial intelligence capabilities within Intact Financial Corporation. His involvement in this initiative reflects his commitment to advancing AI technologies and their applications in the insurance industry. His contributions to the development of machine learning models, including Auto ML and Super Learning, demonstrate his focus on innovative solutions in actuarial data analysis.