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 1–30 of 44 results

  • Analyze Knights-and-Knaves Dialogue Variants evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    SIG (Susquehanna)Data ScientistStatistics & MathTechnical Screen
  • A probability question on Bayesian updating: one of two factories with different red-part rates is chosen at random, and k parts drawn from it are all red. It asks for the conditional probability that the parts came from the first factory, testing likelihoods, priors and careful evaluation of powers.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • This problem tests fundamental knowledge of probability, expected value, and partitioning sample spaces to calculate the average outcome of a stochastic process.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question tests the ability to interpret a contingency table and calculate conditional probabilities by narrowing the sample space to a specific sub-group.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This problem tests your ability to model sequential probabilistic events using combinatorics and conditional probability, specifically requiring the calculation of expected outcomes in a game of chance.

    SIG (Susquehanna)Data ScientistStatistics & MathTechnical Screen
  • This problem tests your ability to calculate probabilities involving continuous uniform distributions and discrete combinations of independent events.

    SIG (Susquehanna)Data ScientistCoding & AlgorithmsHR Screen
  • This question evaluates understanding of probability theory and stochastic processes, focusing on ruin probabilities under a bold betting strategy with state-dependent wagers.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question evaluates understanding of discrete probability and binomial models for independent Bernoulli trials, testing the ability to compute the probability that a limited resource meets random demand.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Calculate the probability that two independent events with different known durations overlap within a fixed time window using geometric probability.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Calculate the conditional probability that a randomly selected rabbit is the least athletic of three rabbits given that it lost its benchmark race, using Bayes' theorem.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Calculate the number of distinct unordered combinations when selecting 5 cookies from 4 available flavors with replacement, and contrast this with the ordered outcome space.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Process a stream of add-one and remove-all operations on a multiset and report, after each operation, how many element triples form an arithmetic progression with a fixed positive difference. It tests efficient incremental updates, correct treatment of duplicate occurrences, and counts that exceed the 32-bit range.

    SIG (Susquehanna)Software EngineerCoding & AlgorithmsOnline Assessment
  • Count lattice paths from `(0, 0)` to `(5, 5)` that never use three identical directions consecutively. The solution converts paths into alternating runs of length one or two, counts bounded compositions for equal and unequal run totals, and derives 84 valid paths.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Count subarrays with odd zero count states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    SIG (Susquehanna)Software EngineerCoding & AlgorithmsOnline Assessment
  • Deduce the exact number of cats owned by three individuals based on conditional truth-telling rules, percentage relations, and average constraints.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Design an object-oriented cash register that manages multi-lot product inventory using FIFO accounting, executes atomic multi-item sales, and accurately tracks realized gross profit.

    SIG (Susquehanna)Software EngineerSoftware Engineering FundamentalsOnsite
  • This problem tests algebraic modeling and systems of linear equations by requiring the candidate to derive the counts of different entities based on a total sum constraint.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This question evaluates a candidate's understanding of relative motion, time-distance-rate relationships, algebraic modeling, and quantitative reasoning. Commonly asked in technical interviews for Statistics & Math and Data Scientist roles, it assesses the practical application of setting up and manipulating equations from multi-step word problems rather than purely conceptual theory.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Determine knights and knaves roles states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    SIG (Susquehanna)Data ScientistStatistics & MathTechnical Screen
  • An expectation question about dealing K cards without replacement from a deck of M ranks with N cards each, then counting the same-rank pairs in the hand. It tests linearity of expectation, probabilities when drawing without replacement, and how the definition of a pair changes the answer.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • An expected value question about rolling three fair N-sided dice, with different payoffs when all three match, exactly two match, or all differ. It tests counting the outcome classes correctly for a general number of faces and combining them into one expected payoff, including a variant where the all-different outcome costs money.

    SIG (Susquehanna)Quantitative TraderStatistics & MathOnline Assessment
  • Implement a headline scanner that identifies mentioned company names using whole-word matching and returns their unique stock tickers in the order specified by the input mapping.

    SIG (Susquehanna)Software EngineerCoding & AlgorithmsOnsite
  • This problem tests knowledge of expected value and geometric distributions by calculating the expected number of trials to observe two distinct outcomes from a discrete probability distribution.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Solve a nested balanced-mobile puzzle and determine the green triangle's weight from a 160-pound total. The worked derivation uses an explicit equal-arm, massless-bar assumption, propagates whole-submobile weights upward, and explains why the left branch alone fixes the answer at 10 pounds.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Tests a candidate's ability to identify and fix critical C++ resource management bugs, specifically shallow copies leading to double-free errors and object slicing caused by improper pass-by-value semantics with polymorphic types.

    SIG (Susquehanna)Software EngineerSoftware Engineering FundamentalsOnsite
  • This question evaluates understanding of probability theory, specifically reasoning about continuous uniform distributions, geometric probability, and the likelihood of overlap between random time intervals within a fixed horizon.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Calculate the expected number of consecutive pairs in a uniformly chosen subset of integers using indicator variables and linearity of expectation.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • This problem tests binomial probability distributions and the cumulative probability of independent discrete events.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Calculate the chance of reaching five tokens before ruin under a bold, state-dependent betting rule. The solution enumerates the transitions, sets absorbing boundaries, solves the four-state recurrence for win probability one-third, and obtains 15/77 from an initial fortune of two.

    SIG (Susquehanna)Data ScientistStatistics & MathOnline Assessment
  • Tests practical systems programming in C++, specifically decoupling raw memory allocation from object construction, managing dynamic capacity growth, and adhering to the Rule of Five.

    SIG (Susquehanna)Software EngineerSoftware Engineering FundamentalsOnsite

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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