One SIG Quantitative Analyst candidate reported an online assessment on markets and math, then an HR screen with a stock pitch and a probability question. A video stock pitch and a 90-minute team video interview followed.
$125K
Avg. Base Comp
$180K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
The one Quantitative Analyst report for SIG describes a process that mixes market intuition with fast probability. The candidate said the hardest part was how quickly interviewers expected them to switch between the two. The process felt less like a pure math interview than a test of whether they could think like someone who understands trading and markets.
It started with an online assessment covering capital markets, EV and finance, market questions and math. An HR phone screen followed, with behavioral questions, a stock pitch and a probability question. The candidate then submitted a video stock pitch before a 90-minute video interview with two team members that mixed market scenario questions with quant reasoning. Questions included common probability problems, basic EV-style pricing, and logic and calculus-style prompts. One was a canoe problem about two friends paddling upstream and downstream with a constant river flow, which came down to setting up rates correctly under time pressure. The candidate was also asked why SIG and why ER, plus culture questions such as whether they play games. They completed the full process but did not receive an offer.
Because this is one account, treat it as an example rather than a fixed format. To prepare, drill probability and expected value setups out loud, review basic calculus intuition, and have one concise stock pitch you can deliver both live and on video.
Synthesized from 19 candidate reports by our editorial team.
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Real interview reports from people who went through the Susquehanna International Group, Llp (Sig) process.
I attended the Online Assessment, which had 17 questions to finish in 40 minutes. All the questions were probability, EV, and a few puzzle questions. One had a lot of similarities to sudoku, about finding the heights of the missing buildings in a 4x4 grid. There were also a couple of simple calculus questions on finding the optimum distance to reach a point in the least amount of time. The time constraint had me sweating: the questions are not super difficult, but the speed you need to complete all of them in time is very difficult. I finished 15 questions and was rejected.
Questions asked: The sudoku-type question: find the height of the buildings in the rows of a 4x4 grid where heights cannot repeat and the number of visible buildings in a row is given from one direction. For example, there could be 3 buildings visible in row 1 from the west and only 2 from the east, as the shorter buildings are hidden behind the taller buildings, so all angles must be taken into account. Another question was a balance shaped like a decision tree where each node had a shape, with a few repeating. I was asked to find the weight of a particular shape given that both branches from the root are balanced and the weight of the whole tree is given. This is solved by creating equations and solving them using algebra.
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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.
The candidate's process opened with an online assessment covering capital markets, EV and finance, market questions and math. Prepare for a mix of market knowledge and quantitative problems rather than pure math.
An HR phone screen followed, with behavioral questions, a stock pitch and a probability question. Have a concise pitch ready, and practise setting up probability questions quickly.
The candidate then submitted a video stock pitch, having already given a pitch during the phone screen. Prepare a short, clear pitch with a thesis and risks, and an answer on why SIG.
The process ended with a 90-minute video interview with two team members. It mixed market scenario questions with quant reasoning, including probability, EV pricing, logic or calculus-style prompts and a canoe rate problem. Culture questions such as whether the candidate plays games also came up. This candidate did not receive an offer.
