How Susquehanna (SIG) Interviews in 2026: Process, Questions & What They Score
The complete process, reported questions, and what interviewers score.
Susquehanna (SIG) / Interview snapshot
6
stages from
application to offer
28
reported questions
18
public sources
Independent: SupaCV is not affiliated with or endorsed by Susquehanna (SIG). This is one well-documented shape of Susquehanna (SIG)'s interviews, not a script: processes change and vary by role, team, level, and region, so confirm specifics with your recruiter.
On this page
01 / For every Susquehanna (SIG) candidate
The process, start to finish.
SIG is a global quantitative trading and technology firm, founded in 1987 by a group of college friends (including Jeff Yass and Arthur Dantchik) with backgrounds as professional poker players and other high-stakes gamblers. The firm is best known for options market making and for building its culture explicitly around game theory and decision science.
It hires along two main tracks with distinct interview pipelines: (1) Quantitative Trader / Trading roles, which are heavily probability-, EV-, and poker/game-theory-driven, and (2) Software Engineer / Quant Developer / Data roles, which run a more conventional coding (CodeSignal/Codility, LeetCode-style) and system-design loop.
Public sources (Glassdoor, Wall Street Oasis, Tradermath, EverythingQuant, techinterview.org, Quantt, InterviewQuery, SIG's own careers/culture pages) broadly agree on a 4-5 stage interview pipeline bookended by an application step and an offer step, but exact question counts, timings, and round labels vary by source, year, and role/office: treat specifics below as illustrative rather than fixed.
SIG has not published a single official 'how we interview' playbook, so the detail below is built from third-party candidate reports plus SIG's own public culture messaging, cross-checked against multiple independent sources.
Stage 1: Application / Resume Screen
N/A (passive review)
Online application through SIG's careers site; resumes for quant/trading roles are reportedly weighted toward technical/STEM majors with strong academic records and competitive or strategic-game experience (chess, poker, sports, quant competitions); engineering roles weighted toward CS/technical majors with strong OOP and DSA fundamentals.
Stage 2: Online Assessment
20-75 minutes depending on assessment variant
Timed test taken remotely on the Mettl platform for trading/research roles. SIG runs a few different variants depending on role and hiring stage: candidate guides and SIG's own assessment names reference the 'SIG Problem Solving Assessment' (roughly 9-15 open-ended numerical questions, about 60 minutes, used for internship/early screening), the 'SIG Quantitative Evaluation' (roughly 12-16 questions in about 20 minutes, used for some full-time pipelines), and a broader quant test some guides describe as 30-50 questions across 60-75 minutes, covering probability, mental arithmetic, logical reasoning, and optimization puzzles. Sources disagree on exact counts and timing, and pass rates are not officially published; one prep guide estimates 20-30%, but treat that as an unverified third-party estimate, not an official statistic. For software engineering roles, this is instead a coding assessment (often CodeSignal or Codility) with 2-4 algorithmic/OOP problems to complete in roughly an hour.
Stage 3: Recruiter / HR Phone Screen
30-45 minutes
Call with a (often technical) recruiter covering background, motivation ('why trading' / 'why SIG'), market awareness, simple brainteasers, sponsorship/visa needs, and competing offers. Multiple guides flag this round as commonly under-prepared-for by candidates despite carrying real weight.
Stage 4: First-Round Technical / Video Interview
45-90 minutes
Video or phone interview, usually with a trader (for trading roles) or engineer (for engineering roles). Trading-track version centers on probability and expected-value brainteasers, conditional probability/Bayes problems, and CV discussion; engineering-track version covers a code-optimization/refactoring exercise, OOP design, and complexity analysis. Strong candidates sometimes skip straight to the onsite.
Stage 5: Superday / Final Onsite (or virtual onsite)
Full day (roughly 4-6 back-to-back interviews)
Full-day loop, typically 4-6 back-to-back interviews plus lunch/informal assessment. For trading roles this includes further probability/EV problems, a group or 1:1 market-making card/dice game, and for many candidates a poker-flavored round (either an actual hand-history discussion for experienced players or an equivalent decision-theory problem for non-players) testing EV reasoning, pot odds, and composure under variance. This is well corroborated as a near-universal feature of SIG's trading Superday. For engineering roles this includes a live programming challenge, a system-design discussion (e.g., designing a real-time market-data feed or order-matching engine), and a project deep-dive. A behavioral/culture-fit conversation with HR and/or a manager is typically included for all tracks.
Stage 6: Final Decision / Offer
Days to a couple of weeks after the onsite
Debrief among interviewers and offer decision; travel and accommodation for the onsite are reportedly covered by SIG for out-of-town candidates.
Reported interview time, one scale in minutes
Where the minutes go
- Online Assessment20 to 75 min
- Recruiter / HR Phone Screen30 to 45 min
- First-Round Technical / Video Interview45 to 90 min
Not drawn: Application / Resume Screen, Superday / Final Onsite and Final Decision / Offer, whose durations are not given in minutes.
02 / What Susquehanna (SIG) scores
The framework.
No formal named leadership-principles-style scoring rubric is publicly documented for SIG interviews
01
Good Decision Making: 'We take a rigorous and analytical approach to decision making. Becoming a good decision maker requires reflection and practice.' (sig.com/who-we-are)
02
Teamwork: 'We believe that smart people working together always come up with a better solution than the lone genius.'
03
Belonging: 'Susquehanna fosters a culture of collaboration that encourages every employee to feel welcome and comfortable.'
04
Growth Mindset: 'We are constantly learning and challenging ourselves to grow. Our commitment to development and hard work drives our success.'
05
Expertise: 'We value the expertise of the people we hire. We provide an environment where each individual can have a meaningful impact.'
06
Integrity: 'Dependability and honesty are the foundation of our relationships. Our high level of respect for each other and our work is at the core of our culture and success.'
This is the complete, exact set of six values published at sig.com/who-we-are/ (Good Decision Making, Teamwork, Belonging, Growth Mindset, Expertise, Integrity). Unlike firms with a codified interview rubric (e.g., Amazon's Leadership Principles), SIG does not publish a named evaluation framework used explicitly to score candidates. These six values do recur in how recruiters frame the final-round cultural-fit conversation per multiple candidate guides, but there is no evidence SIG uses them as a formal scored rubric.
The closest thing to a distinctive, consistently-cited 'framework' in third-party guides and in SIG's own public materials (e.g., its 'Game Theory + Decision Science' page) is SIG's informal emphasis on poker/game-theory-based decision evaluation (EV reasoning, calibration under uncertainty, composure under variance, treating pushback as data); treat this as 'what SIG is known for testing,' not an official checklist.
03 / Coach's notes
Coach's tips.
01
Drill mental math and EV calculations against a clock before the online assessment. Sources disagree on exact question counts and timing (anywhere from ~9-16 questions in 20-60 minutes to 30-50 questions in 60-75 minutes depending on the specific assessment variant and role), but every source agrees it's tightly timed, so speed and composure matter as much as getting the right final number. Treat any specific pass-rate figure you see quoted (e.g., 20-30%) as an unofficial estimate, not a published statistic.
02
Narrate your reasoning process out loud on probability and brainteaser questions (state your assumptions, framework, and how you'd sanity-check the answer); across sources, interviewers are described as caring more about how you get to expected value/edge than whether your final number is exactly right.
03
For trading-track candidates, don't be intimidated by poker- or card-game-flavored rounds if you've never played seriously: guides consistently note SIG is testing your ability to reason about pot odds, EV, and information asymmetry in plain decision-theory terms, not your poker skill itself; learn the vocabulary (EV, edge, calibration, Bayesian updating) rather than the game.
04
Don't underweight the recruiter/HR phone screen: several guides explicitly call it 'overlooked' by candidates, but it includes real motivational and fit questions (why SIG, why this role, sponsorship needs, competing offers) that can end a candidacy before the technical rounds.
05
For software engineering roles, prepare for a code review/optimization format, not just writing new solutions from scratch: expect to be handed existing code and asked to improve its time/space complexity, readability, and OOP design, then defend your changes, in addition to standalone medium-to-hard LeetCode-style problems (arrays, trees, graphs, matrices) and a system-design round on low-latency, real-time trading infrastructure.
06
In final-round or HR conversations, connect your answers to SIG's own stated values (rigorous/analytical decision-making, teamwork over the 'lone genius', belonging, growth mindset, expertise, and integrity); this language comes directly, word-for-word, from SIG's public 'Who We Are' page and appears to be genuinely used to frame the cultural-fit conversation.
04 / The research
Where this page comes from.
Compiled from public sources across 13 sites.
- sites
- 13
- coaching and prep guides
- 17
- candidate reports and forums
- 1
Source composition
Where the research comes from
Grouped by the kind of site that published each source: Susquehanna (SIG)'s own domain, candidate forums, and everything else.
- Coaching and prep guides17
- Candidate reports and forums1
05 / The questions
Reported questions, by category.
Showing questions for
Roles are grouped by the category each question fits, not by the source.
Coding & System Design
(software engineer / quant developer track)
6 questions
Solve an algorithmic problem such as computing maximum drawdown or compound interest over a data series.
Tests array scanning; max drawdown falls out of tracking the running peak in a single pass.
Implement an object-oriented design task from scratch, e.g., a library-style class with filtering/search methods, then extend it with new requirements live.
Tests live object-oriented design: build a class with filtering and search, then extend it on the fly.
Given an existing piece of code, optimize it for time/space complexity and refactor for readability/SOLID principles, then explain your changes.
Tests refactoring: improving time and space complexity and readability while explaining each change.
Medium-to-hard LeetCode-style problems involving 2D arrays/matrices, trees, graphs, or linked lists (commonly delivered via CodeSignal or Codility).
Timed coding screen; tests medium-to-hard problems on matrices, trees, graphs, and linked lists.
System-design discussion: design a real-time market-data feed or an order-book matching engine, covering data storage, APIs, low-latency constraints, and edge cases (independently corroborated as a recurring SIG system-design theme).
System design: they probe data storage, APIs, low-latency constraints, and order-book edge cases.
Explain a past project in technical depth (a 'project deep-dive' segment is a recurring Superday component).
Project deep dive; tests genuine technical depth and ownership of decisions on past work.
Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.
Probability & Expected-Value Reasoning
(core to trading-track interviews)
6 questions
You flip a coin repeatedly until you get two heads in a row. What is the expected number of flips? (a recurring SIG-attributed question across multiple sources; answer is 6)
Tests expected-value recursion on coin-flip states; conditioning on early flips yields the answer of 6.
If the probability of seeing at least one hawk in one hour is 0.8, what is the probability of seeing at least one hawk in half an hour? (widely reported and independently corroborated as a SIG question, sometimes phrased with shooting stars instead of hawks)
Probability puzzle; the insight is independence across half hours: solve 1 - (1-p)^2 = 0.8.
You're offered a bet: pay $10 to play; partway through, the interviewer offers to double the bet to $20. What minimum win probability would make it correct to accept the double?
Tests mid-game expected-value reasoning: find the win probability where doubling the stake breaks even.
Two-coin/Bayes' theorem style problem: given a coin might be fair or biased, update your probability estimate after observing a sequence of flips.
Tests Bayesian updating: revise the fair-versus-biased posterior after each observed flip.
Standard expected-value problems involving drawing cards, rolling dice, or picking balls from an urn under various payoff rules.
Tests expected-value setups over cards, dice, and urn draws under varied payoff rules.
Solve a linear system, single-variable calculus, or combinatorics problem quickly under time pressure (recurring format in the online assessment).
Timed assessment; tests speed on linear systems, single-variable calculus, and combinatorics.
Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.
Every role
Market-Making, Poker & Game-Theory Exercises
(trading-track, often in the Superday)
5 questions
Make me a market (bid/ask) on the number of dominoes in a standard domino set (a well-documented, specifically SIG-attributed classic).
Market-making exercise; quote a bid/ask around the true count of 28 and size the spread to your confidence.
In a market-making card or dice game, quote a two-sided price on an unknown outcome and manage your resulting position as new information (cards) is revealed.
Tests quoting two-sided prices under uncertainty and adjusting the market as revealed cards add information.
In a poker hand where you have roughly a 30% chance of winning, the pot is $100 and your opponent bets $50. Do you call? Justify with pot odds/EV (corroborated as a SIG-specific example).
Tests pot-odds arithmetic: calling 50 into a 150 pot needs 25 percent equity, and 30 percent clears it.
General 'walk me through your decision-making' prompts after a hand or game outcome, probing whether you can reason about EV, edge, and information rather than just the result.
Tests process over results: justify decisions in terms of EV, edge, and information, not outcomes.
Group market-making exercises during the Superday where multiple candidates trade against each other on a synthetic asset.
Live group exercise; tests quoting, position management, and adapting to other candidates' flow.
Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.
Every role
Brainteasers & Mental Math / Estimation
4 questions
Estimate a Fermi-style quantity, e.g., how many AAA batteries are sold in the UK each year (independently corroborated as a SIG-used Fermi question).
Fermi estimation; tests decomposing an annual quantity into population, usage, and replacement assumptions.
Grid path-finding or optimization puzzles (e.g., counting distinct paths or optimal routes under constraints).
Tests combinatorial path counting and constrained optimization on grids.
Rapid mental-arithmetic drills under time pressure as part of the timed online assessment.
Timed mental-arithmetic screen; tests fast, accurate computation under pressure.
Logic puzzles involving weighing, sequencing, or deduction with limited information.
Tests deduction with limited information: weighing, sequencing, and elimination logic.
Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.
Every role
Behavioral & Cultural Fit
7 questions
Why do you want to work at SIG, and why trading/this role specifically?
Tell me about a time you had to handle a difficult team member or disagreement.
How would you describe yourself in three words?
What is your greatest weakness?
Do you have competing offers, and what are your visa/sponsorship needs? (typically asked by the recruiter, not the technical interviewer)
Describe your work style and how you'd fit into a small, collaborative team.
What competitive or strategic activities have you pursued (sports, chess, poker, quant competitions), and what did you learn from them?
Your next step
Interviewing at Susquehanna (SIG)?
Make sure your resume gets you to the first round.
Practicing for Susquehanna (SIG) against your resume is in Interview Prep on Career.
Common questions
Quick answers.
How many stages are in Susquehanna (SIG)'s interview process?
Susquehanna (SIG) has 6 stages, set out in The process.
What framework does Susquehanna (SIG) use to evaluate candidates?
The framework behind Susquehanna (SIG)'s evaluation is set out in What Susquehanna (SIG) scores.
What kinds of questions does Susquehanna (SIG) ask?
Susquehanna (SIG)'s questions fall into 5 categories, grouped in The questions.
How reliable is this Susquehanna (SIG) interview playbook?
It is compiled from public sources, and the evidence is in The research.
Sources (18)
Every public source this page was compiled from. Links open in a new tab.
13 sites, by sources
- everythingquant.com2
- tradinginterview.com2
- sig.com2
- aptitude-test-prep.com2
- en.wikipedia.org2
- tradermath.org1
- quantt.co.uk1
- techinterview.org1
- glassdoor.com1
- wallstreetoasis.com1
- interviewquery.com1
- climbtheladder.com1
- careers.sig.com1
- 01tradermath.org/knowledge-base/sig-interview-guide
- 02everythingquant.com/guides/quantitative-trader-at-sig
- 03everythingquant.com/guides/software-engineering-at-sig
- 04tradinginterview.com/courses/company-preparations-course/lessons/susquehanna
- 05tradinginterview.com/the-sig-quantitative-evaluation
- 06quantt.co.uk/resources/sig-interview
- 07techinterview.org/companies/sig-susquehanna-interview-guide
- 08sig.com/who-we-are
- 09sig.com/who-we-are/game-theory-decision-science
- 10glassdoor.com/Interview/Susquehanna-International-Group-SIG-Intervie…
- 11wallstreetoasis.com/company/susquehanna-international-group/interview
- 12interviewquery.com/interview-guides/susquehanna-international-group-llp-s…
- 13climbtheladder.com/susquehanna-international-group-sig-interview-questions
- 14aptitude-test-prep.com/employers/finance-and-investment-banking-assessments/s…
- 15aptitude-test-prep.com/employers/finance-and-investment-banking-assessments/s…
- 16en.wikipedia.org/wiki/Susquehanna_International_Group
- 17en.wikipedia.org/wiki/Jeff_Yass
- 18careers.sig.com/quantitative-trading-campus-full-time/jobs
Related reading
- Is the One-Page Resume Rule Real?Where the one-page rule actually comes from, what recruiters say about it in practice, and a tiered way to think about length instead of a fixed cap.
- Where the "75% of Resumes Are Rejected by ATS" Stat Came FromThe paper trail behind the most-repeated statistic in job search advice, what applicant tracking software actually does, and what really causes instant rejection.
How similar companies interview
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