Glassdoor users rated their interview experience at G-Research as 33.3% positive with a difficulty rating score of 4.33 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Quant Intern and Quantitative Researcher rated their interviews as the hardest, whereas interviews for Quantitative Researcher and Quantitative Research Intern roles were rated as the easiest.
The hiring process at G-Research takes an average of 30 days when considering 3 user submitted interviews across all job titles. Candidates applying for Quantitative Researcher had the quickest hiring process (on average 30 days), whereas Quantitative Researcher roles had the slowest hiring process (on average 30 days).
data analysis using python and pandas live coding test technical questions calculating time complexity database questions queue/stack fundamental computer science notations designing a Turing machine checking your technical backgrounds reasons to apply for G-research
LeetCode Medium Problem (Greedy Algorithm): Solve a medium-level LeetCode problem using a greedy algorithm approach. Write efficient code, analyze complexity, and discuss optimizations. Statistics Problem: Analyze a provided statistical scenario or dataset, apply relevant statistical methods, interpret results, and engage in a discussion about your approach and findings.
Interview questions [1]
Question 1
For the algorithm question they asked Leetcode question 135.
Interview was only undergrad math level. You had to choose between programming (explain how this sorting algorithm works and its complexity). You don't have to answer the finance questions if you don't know how to.