How many interview rounds does Susquehanna International Group (SIG) have for a Quantitative Researcher?

You can expect a process that includes an Online Assessment, then Technical Interviews, and finally a Superday. The Superday is described as a final round series that includes additional technical interviews, a data-focused exercise, and behavioral rounds.

How hard are Susquehanna International Group Quantitative Researcher interviews, and what does the difficulty mean in practice?

Across 111 candidate-reported interviews, the most common reported difficulty is average. The screening emphasizes solving quantitative problems under time pressure, particularly in probability and logic, and you are expected to think aloud and explain your reasoning steps.

What should I prioritize for the Online Assessment for SIG Quantitative Researcher?

The Online Assessment tests speed and accuracy in probability, logic, and combinatorics. Because it is time-constrained, prioritizing clear, efficient solution steps and fast mental arithmetic for probability questions can help you perform under the same constraints.

What coding skills does Susquehanna International Group test for Quantitative Researcher, and where do they show up?

SIG tests Python coding and algorithmic problem-solving, with an emphasis on data-heavy solutions. The described interview components include interactive technical interviews for real-time math problem solving, and the Superday includes a data-focused exercise, so expect both coding and practical quantitative reasoning.

What pay should I expect for a Quantitative Researcher at Susquehanna International Group?

Candidate and job-posting reports you can use as reference show pay ranging around $185k base and $300k total, with variation by level and location. In those same reports, average offer rate is 5% across 111 reported interviews.

Susquehanna International GroupQuantitative Researcher

Updated May 6, 2026

Susquehanna International Group Quantitative Researcher Interview Experiences 2026

Q: What topics are tested in Susquehanna International Group Quantitative Researcher interviews?

The highest-frequency topics include Bayes' Theorem and conditional probability, combinatorics and counting, expected value, and probability distributions including coin-flip models. You may also see Markov chains, time-pressured quant math with fast mental math or no calculator, and a behavioral motivation prompt about your interest in the role/program.

Real, anonymous reports from people who interviewed for Quantitative Researcher at Susquehanna International Group, newest first and distilled into what to expect across the loop.

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Hot & recentNewest first

6 months ago

Difficult Positive United States

The longest version of the process I experienced felt like a full sequence from OA all the way to an in-person superday, spread across weeks. I first did an OA, then I moved into multiple interview rounds that mixed brainteasers and math concepts, including something like a Markov chain style question in an early hiring-manager stage.

After that, I had additional structured conversations that went beyond basic interviews. I did a call with a trading-person focus where I was asked a brainteaser plus topics that included linear regression and algorithm-style problem solving, and then I reached a data science round built around trading data. The pace was intense and the technical bar felt high, but everyone I interacted with was friendly and sharp, which made it easier to stay engaged.

7 months ago

Average Positive Philadelphia, PA

My process started with an OA and then quickly turned into phone calls. After the assessment, I had HR-led discussions where I was asked probability questions alongside more typical background-style behavioral questions. It felt like they were checking how I approached uncertainty problems and whether I could explain my reasoning without getting lost.

Then I had another technical round where the interviewer was more directly connected to trading, and the interview felt like it tightened around probability problem solving. I was able to answer everything that was asked, but they still decided not to move me forward. Across the rounds, the interviewers were genuinely nice, and I appreciated that the tone stayed constructive even though the process ended without an offer. The hardest part wasn’t the math itself—it was absorbing that I could perform well and still not progress.

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