The process consisted of an initial phone call from a recruiter, from which we scheduled the first of three technical phone interviews.

The first interview (1 hr) was with a panel, where three employees asked me questions related to the type of work they do to get further info on my background.

The second interview (2 hr) was two parts (1 hr each) and consisted of completing verbal and software writing assessments.

The last interview (1 hr) was another panel interview that contained technical questions but was primarily about company culture and how well I would fit from a teamwork perspective.

Given a dataset describing customer claims (some are known to be fraudulent, the rest are not), how would you approach the problem of building a model to identify which future claims are likely fraudulent?

Basic programming questions, for example, write a function that combines two sorted arrays into a single sorted array. Analyze the storage and computation complexities of your code.