SQL heavy technical screen and questions about data modeling, didn't expect that. week long take-home building a predictive model on real claims data. onsite was 5 rounds with panels of 2-3 people asking about risk assessment and actuarial modeling and regulatory constraints. they kept bringing up how Intact approaches claims prediction and pricing models. exhausting but interesting process overall just very long
Questions Asked
1.“Explain what present value of future benefits means in the context of life insurance”
2.“Whats the difference between claim frequency and claim severity?”
Underwriting Analyst
Toronto, ON
Summer 2025Accepted
University of Guelph · Commerce
1st year · 2.1-2.4 GPA · 0 past internships
Easy Interview
TechnicalMultiple roundsStressful
Unique process mostly just a conversation with the recruiter and got to meet the would be manager as well in the same interview jsut be confident honestly
Questions Asked
1.“What do you know about Intact Insurance that made you apply?”
2.“What is underwriting and how does an underwriter add value to an insurer?”
Data Analyst
Montreal, QC
Summer 2026No Offer
Université Laval · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Average Interview
TechnicalCase studyVirtualMultiple rounds
SQL questions about policy data aggregation and a short case focused on tracking metrics for claims processing efficiency. Technical interview was with two analysts. Python came up but wasn't the focus
Questions Asked
1.“Whats the difference between a data lake and a data warehouse?”
2.“How would you design an A/B test for a new checkout flow?”