Glassdoor users rated their interview experience at Open Risk Exchange as 100% positive with a difficulty rating score of 2 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Machine Learning Engineer and rated their interviews as the hardest, whereas interviews for Machine Learning Engineer and roles were rated as the easiest.
The hiring process at Open Risk Exchange takes an average of 3 days when considering 1 user submitted interviews across all job titles. Candidates applying for Machine Learning Engineer had the quickest hiring process (on average 3 days), whereas Machine Learning Engineer roles had the slowest hiring process (on average 3 days).
I applied online. The process took 3 days. I interviewed at Open Risk Exchange (London, England) in Jul 2016
Interview
First a short conversation via phone. Then personal meeting, short general conversation about past experience (30 minutes) and programming test (90 minutes). The questions were typical and were similar to those that can be found in "Cracking the Coding Interview", a book written by Gayle Laakmann McDowell.
Interview questions [2]
Question 1
I got some data. I needed to build a classifier and make predictions for the test set. Very similar to some challenges that can be found on www.kaggle.com
Write a function/method/class that is going to perform some operation on text/lists, etc. Very similar to the questions that can be found in "Cracking the Coding Interview", a book written by Gayle Laakmann McDowell.