
Susquehanna International Group, Llp (Sig) Quantitative Analyst interview typically runs 3-5 rounds: online assessment, recruiter/HR screen, technical/team interview, and final interview. The process usually takes about 1-2 months and is especially speed-sensitive.
$149K
Avg. Base Comp
$195K
Avg. Total Comp
4-6
Typical Rounds
4-8 weeks
Process Length
We’ve seen a very consistent pattern in SIG’s Quantitative Analyst interviews: the firm cares less about polished storytelling and more about whether you can set up probability cleanly under pressure. Across candidate reports, the same themes keep resurfacing — Bayes, expected value, conditional probability, combinatorics, and brainteasers that look simple until the clock starts running. Multiple candidates noted that the hardest part was not the math itself, but the pace, with several saying they couldn’t finish every question even when the material felt familiar. That tells us SIG is screening for fast, accurate reasoning, not just raw quantitative background.
A second theme is that SIG wants evidence you understand the business context, not just the formulas. Candidates were asked why SIG, what makes its prop trading model distinctive, and even market-scenario questions that forced them to think like traders rather than pure academics. We also saw a few prompts that mixed finance intuition with math, like options, stock-pitch discussions, and questions about how markets react to events. The non-obvious signal here is that they seem to reward candidates who can move fluidly between abstract probability and practical trading logic.
Finally, our candidates report a fairly technical, sometimes stiff style of interaction. That means small mistakes matter: rushed arithmetic, vague explanations, or hand-wavy reasoning can hurt more than in a warmer process. The strongest candidates were the ones who answered crisply, stayed organized, and showed they had actually thought about SIG’s edge. In other words, speed plus precision is the real bar here, and the people who clear it usually sound effortless doing it.
Synthesized from 12 candidate reports by our editorial team.
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Featured question at Susquehanna International Group, Llp (Sig)
Compute the probability the coin is double headed and the probability the next toss is a head given 10 heads
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Synthesized from candidate reports. Individual experiences may vary.
Candidates apply online through SIG’s portal or are contacted by a recruiter after applying. The first filter is typically a math-heavy online assessment, so the application stage mainly determines whether you advance to the timed screening.
This is the main early filter and is consistently described as fast-paced and probability-heavy. It usually includes around 15-20 questions covering probability, statistics, combinatorics, logic, expected value, and some finance or market scenarios, with tight timing and little room to revisit answers.
After the assessment, candidates typically speak with a recruiter or HR. This round is conversational but often includes technical probability questions, background review, motivation for finance, and questions about SIG specifically, such as why the firm or what makes its prop trading model unique.
Candidates then move to one or more interviews with team members, traders, or a quant engineer. These rounds focus on live probability, expected value, Bayes’ theorem, logic, and mental math, and may also include market intuition, finance questions, or light coding/ML concepts depending on the team.
Some candidates are asked to submit a video stock pitch, and others complete a take-home data science project, such as a modeling volatility assignment. This stage tests communication, market understanding, and the ability to present reasoning clearly outside of a live interview.
The final stage can be a director chat or a longer panel-style process with multiple interviews. Questions remain technical and often mix market scenarios with quantitative reasoning, while also checking fit, communication, and whether the candidate understands SIG’s trading model and culture.