Katkat

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SIG (Susquehanna) interview questions

44 practice questions in the style of SIG (Susquehanna)'s interviews, covering Statistics & Math, Coding & Algorithms, Software Engineering Fundamentals.

Questions44

23 easy20 medium1 hard

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SIG (Susquehanna) interview questions by the numbers

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Katkat has 44 SIG (Susquehanna) interview questions. The largest topics are Statistics & Math (75%), Coding & Algorithms (14%) and Software Engineering Fundamentals (11%). By difficulty: 52% easy, 45% medium and 2% hard. The most common round is Online Assessment (75%). Frequent concepts include Probability, Discrete Math, Logic and Statistics.

Difficulty

  • Easy52% · 23
  • Medium45% · 20
  • Hard2% · 1

Interview rounds

  • Online Assessment75% · 33
  • Onsite16% · 7
  • Technical Screen7% · 3
  • HR Screen2% · 1

Roles

  • Data Scientist61% · 27
  • Software Engineer23% · 10
  • Quantitative Trader16% · 7

Frequent concepts

  • Probability18% · 8
  • Discrete Math7% · 3
  • Logic7% · 3
  • Statistics7% · 3
  • combinatorics5% · 2
  • Combinatorics5% · 2

Showing 31–44 of 44 results

  • Design an immutable movie catalog that parses CSV data and supports fast, inclusive year-range queries using binary search or indexing.

    SIG (Susquehanna)Software EngineerSoftware Engineering FundamentalsOnsite
  • This question evaluates a candidate's understanding of conditional probability and posterior inference, assessing the ability to update probability estimates after observing that a chosen option did not occur.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • A binomial probability question about a queue of N customers who each choose one of two products, with only M units of one product left in stock. It asks for the probability that the stock is enough, or exactly enough, for every customer who wants it, testing distribution modeling and the efficient evaluation of tail sums.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • A probability question about two flowers that start blooming on random days within a D-day window and stay in bloom for different lengths of time. It asks for the probability that both are in bloom together at some point, testing interval-overlap reasoning, exact counting, and discrete versus continuous modeling.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • A conditional probability puzzle about three cats in a race with known winning probabilities. You cheer for a randomly chosen cat, learn whether it won or lost, and must find the probability that you picked the strongest or the weakest cat, testing Bayes' rule and the choice of conditioning event.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • A gambling probability question: starting with A chips and aiming for B, a player uses bold play, staking either all chips or just what is needed to reach the target, and wins each even-money round with probability p. It asks for the probability of reaching the target before going broke, testing recursive state analysis.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • This question tests logical deduction and systematic case analysis under binary truth constraints.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Rotate every element of a square matrix that lies off both diagonals by 90 degrees clockwise a given number of times, leaving the main-diagonal and anti-diagonal values in place. It tests precise index mapping, handling of odd and even matrix sizes, and bug-free simulation under timed assessment conditions.

    SIG (Susquehanna)Software EngineerCoding & AlgorithmsOnline Assessment
  • Tests setting up and solving a system of linear equations from verbal constraints using substitution to determine integer entity counts.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question evaluates a candidate's ability to translate a word problem into a system of linear equations and perform basic algebraic manipulation and arithmetic to determine unknown quantities.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question evaluates logical deduction, constraint satisfaction, and quantitative manipulation of percentages and averages within a relative truth/lie framework, and is categorized under Statistics & Math and discrete logic puzzles.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question evaluates algorithmic problem-solving skills across two areas: efficient seat-allocation and interval occupancy reasoning for grouping in a constrained seating layout, and robust string processing with phrase-based, case-insensitive matching and mapping to ticker identifiers.

    SIG (Susquehanna)Software EngineerCoding & AlgorithmsOnsite
  • Tests understanding of binary tree taxonomy, global BST invariants versus local parent-child checks, and efficient tree search under range constraints.

    SIG (Susquehanna)Software EngineerSoftware Engineering FundamentalsOnsite
  • This question evaluates understanding of Bayesian inference and conditional probability by asking for the posterior probability that two observed black widgets originated from a specific factory.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment

SIG (Susquehanna) interview experiences

All 4 →
  • CodeSignal OA, Four Questions in 70 MinutesSIG (Susquehanna) · Software Engineer · Online Assessment · Sep 2026

    Sharing the SIG CodeSignal I just did — same as usual, 70 minutes, 4 questions. Overall not hard, didn't need much in the way of algorithms, but there was a decent amount of code to write, and within the limited time you had to get all the little details right. Not sure if the questions are fixed — I know people who got different questions, so it might not be for the same position. The first two…

  • Online Assessment with Randomized Probability, Combinatorics and Logic PuzzlesSIG (Susquehanna) · Quantitative Trader · Online Assessment · Sep 2026

    The questions are similar to the ones you can find online, but there are some variants. All the specific numbers and shapes are randomly generated. Below is a summary done with AI, in shuffled order. Probability and Bayes' Theorem Factory A produces $a\%$ red parts and $(100-a)\%$ black parts, and Factory B produces $b\%$ red parts and $(100-b)\%$ black parts. A factory is picked at random and $k…

  • Nailed Every Onsite Question, Still Got RejectedSIG (Susquehanna) · Software Engineer · Onsite · Aug 2026
    Rejected

    In May, someone from SIG reached out, so I figured I'd give it a shot and set up a recruiter call, which quickly turned into a phone interview. The phone interview was the classic "movie search" problem — basically you're given a CSV-format list of movies and asked to design a class that supports fast filtering, like pulling movies from year xx to year yy. Also, the constructor's time complexity…

  • Seventeen Quantitative and Logic QuestionsSIG (Susquehanna) · Data Scientist · Online Assessment · Aug 2026

    The online assessment contained 17 questions. Question 1 You walk into a barn and see ants, cows, and chickens. There are 570 legs in total. The number of ants is twice the number of chickens, and the number of cows is twice the number of ants. Compute the number of ants. Question 2 You are on an island inhabited by knights, who always tell the truth, and knaves, who always lie. Perlica and Chen…

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