Real, anonymous reports from people who interviewed for Data Scientist at Susquehanna International Group, newest first and distilled into what to expect across the loop.
I went through a more intense, multi-stage journey—moving from OA straight into sequential interviews and ending with an additional exercise—where the process felt like a progression of increasingly specific quant hurdles over roughly a couple of months.
The interview process begins with a challenging online assessment focused on probability, combinatorics, and logic, typically consisting of 17-20 questions to be completed under strict time constraints. Candidates should prepare for increasing difficulty and ensure they can perform well without a calculator.
Candidates will undergo a recruiter or HR screening that includes behavioral questions about their background and motivation, often combined with a few probability questions to assess fit and problem-solving ability. Clear communication and reasoning are essential during this stage.
Subsequent interviews focus heavily on technical and quant questions, primarily centered around probability and statistics, with some candidates experiencing finance-related discussions. Candidates should be prepared to explain their reasoning clearly and handle complex questions under pressure.
Some candidates may be required to complete a structured data exercise or take-home assignment after the initial interviews, which can be time-consuming and open-ended. This stage evaluates applied analysis skills beyond traditional interview questions.
In longer interview paths, candidates may face a final onsite or superday round involving multiple quant conversations and possibly live coding challenges. Success in these stages often hinges on depth of knowledge in probability and the ability to communicate effectively.
The overall process is described as competitive and demanding, with many candidates reporting that strong performance in early rounds is critical for progression. A common takeaway is the importance of mastering probability fundamentals and maintaining composure under time pressure.