The interview process is quite technical, so it's essential to have a solid understanding of your resume and be ready to discuss any experience you've listed in depth. Expect questions that test your technical knowledge relevant to the role — for example, coding challenges, case studies, or problem-solving scenarios if it's a data or actuarial position.
Interviewers will often dive into your past projects or work experiences, so be prepared to explain your thought process, the tools you used, the challenges you faced, and the outcomes. If you have quantitative or model-building experience, they may ask you to walk through your methodology or defend your assumptions.
In addition to the technical portion, there is a behavioral component where you're assessed on soft skills like communication, teamwork, adaptability, and leadership. Questions in this section are often framed using the STAR format (Situation, Task, Action, Result), so it's helpful to prepare examples in advance that demonstrate your problem-solving ability, initiative, and collaboration skills.
The overall process can be rigorous but fair, with interviewers often looking for both technical competence and cultural fit. Make sure to do your research on the company, practice articulating your experiences clearly, and ask thoughtful questions at the end to show your interest.