Squarepoint Capital Interview ProcessTier 3

Systematic Quant Fund - New York / London

53 practice questions → Apply at Squarepoint Capital → Learn more about Squarepoint Capital ↗ Report a question from your Squarepoint Capital interview

150

problems

28 easy 100 medium 22 hard

hires: Quant Researcher, Quant Developer, Software Engineer

Interview funnel

These stages are the quant tracks. Software engineering loops are only mapped where a stage names them.

1 Online Assessment (optional)
2 Junior Interview - Round 1
3 Junior Interview - Round 2
4 Senior Round - Your Background
5 Superday - 5-Hour Data-Science Exam
6 Closing Senior Interview

Online Assessment (optional)

Squarepoint's OA is multi-section and you must pass EVERY part to advance ('all test cases must pass'). The Desk Quant / QR track pairs a gating statistics + probability + 'identify-the-bias' MCQ section with 2 coding problems; the SWE / Junior Technologist track is a Python set (2-3 LeetCode easy/medium or a file-parsing pipeline); New-Grad Frontend is a timed React build. Flavors and exact items vary by year and role.

Practice this round 19 problems Pro

Desk Quant / QR

current

2023 -> 2026

Quant screen + codingHackerRank, multi-section~4 MCQ + 2 coding

The quant OA gates on a short MCQ section - probability, statistics (t-test vs z-test, Type I/II error, Bayes), and a signature 'identify the bias' question (selection / survivorship) - then 2 coding problems you must fully pass. The recurring coding problems are below.

Take the timed assessmentReal reported OA questions, on the clockPro

Software Engineer / Junior Technologist

current

2023 -> 2026

Python codingHackerRank, IDE + docs2-3 problems

The software track is a timed Python set - 2 to 3 LeetCode easy/medium problems (you may use an IDE and documentation), all test cases must pass. Recurring problems below.

How Many Sentences (Anagram Substitution)Group dictionary words by sorted-letter signature; for each sentence multiply the number of interchangeable anagrams of each word (a word counts as an anagram of itself).CodingEasySolve →Word Frequency Top-3Count words case-insensitively, rank by frequency then alphabetically, return at most 3 total.CodingEasySolve →Shop Revenue MaximizationGreedy max-heap: always sell from the item with the largest remaining quantity.CodingEasySolve →Counting Sturdy Brick WallsEncode each row as a bitmask of interior seams, precompute compatible pairs, then DP row by row modulo 1e9+7 (LC 2184 pattern).CodingMediumSolve →see all 5 problems →

Software Engineer

current

2025

Data Pipelines (SW Dev)Python, 75 min1 problem

A 75-minute data-pipeline parsing task: read structured records from an in-memory text stream (StringIO) - NO pandas allowed - and answer aggregate queries (earners over a threshold, longest tenure, second-highest salary). Tests clean standard-library parsing, grouping, and careful edge cases. The exact dataset wording was in candidate screenshots; below is a faithful, auto-graded instantiation of the reported queries.

Data Pipeline: Payroll Stream AnalysisParse name,salary,tenure_days records from a text stream (no pandas): count earners over 30k, the longest-tenure name (lexicographic tiebreak), and the second-highest distinct salary.CodingMediumSolve →

Unlock the full interview funnel

The first stage is on us — you're seeing it in full. Unlock every later round, the must-do problems, and stage-by-stage prep across all 56 firms with QuantVault Pro.

56 firmsEvery stageMust-do problems

Junior Interview - Round 1

45-60 min - video, with a junior team member Round guide →

The first of two technical rounds with junior interviewers. Core probability, expectation, and statistics -- including Bayesian inference (e.g. which of two coins is biased given flip data) -- plus a coding problem. Dice-EV and conditional-probability classics are common. Recent reports also open with a deep dive into one resume project and its implementation.

Practice this round 26 problems →

#218 Ten-Sided Die Game: Expected Payoff with Multiple Rollsseen 2022-06 expectation medium #1279 Identifying the Biased Coin From Limited Flipsseen 2025-06 statistics medium #219 Ten-Sided Die Payoff Gameseen 2026-06 expectation medium #157 Bayesian Coin: Fair vs. Double-Headedseen 2025-08 probability easy #949 Expected Reward in the 100 Doors Problemseen 2022-06 expectation medium #404 Expected Twos Before the First Oneseen 2024-06 expectation easy #243 Covariance Between Counts of Two Face Values in Dice Rollsseen 2025-06 expectation easy #619 Optimal Stopping for a Die Roll Gameseen 2024-06 game-theory medium

Junior Interview - Round 2

45-60 min - video, with a junior team member Round guide →

The second junior technical round - broad and could pull from anything: probability, statistics, regression, coding, or applied stats. This round surfaces the full breadth of reported Squarepoint problems, so treat it as your general technical prep set.

Practice this round 72 problems →

#368 Expected Adjacent Couples at a Round Tableseen 2021-06 expectation medium #29 Expected Payoff of the Red-Black Card Gameseen 2024-06 expectation hard #633 Probability of Negative Return Given a Sharpe Ratio of 1seen 2021-06 probability medium #8 Expected Time for All Ants to Fall Off a Stickseen 2024-06 expectation hard #663 Which Coin Is More Biased?seen 2024-06 statistics medium #161 CLT Approximation for Coin Flips probability hard #715 Errors-in-Variables Regression Biasseen 2026-07 regression medium #993 Maximum Stock Trading Profit with Unlimited Transactionsseen 2022-06 coding medium

Senior Round - Your Background

45-60 min - with a senior team member Round guide →

A senior interviewer digs into your background, past projects, and research. Less about canned puzzles, more about how you think and what you've actually done. Be ready to defend technical choices.

Practice this round →

Editorial round — no practice problems.

Superday - 5-Hour Data-Science Exam

onsite / virtual - 5 hours, Python + pandas on their desktop Round guide →

The superday: a single ~5-hour, hands-on data-science exam in THEIR environment (Python + pandas, provided desktop) on a real dataset (candidates report power-storage and order-flow data). Load, clean, wrangle, explore, build and validate a model, weighing pitfalls: R-squared abuse, multicollinearity, duplicated/leaky rows, time-series structure. Open-ended and time-pressured, so pandas fluency (groupby/merge/resample/pivot/rolling/vectorized ops) matters as much as statistics. Practice wrangling + modeling first.

Practice this round 23 problems →

#1213 Simpson's Paradox in Time Series Correlationseen 2019-06 time-series medium #1235 VWAP and Last-Trade Price per Symbol per Day coding medium #2017 Missing Data Imputation and Regression Pipeline machine-learning medium #2280 Predicting Closing-Auction Volume from the Day's Order Flow market-microstructure hard #2019 Monthly Sharpe Ratio from Daily Returns time-series medium #1736 End-to-End EDA and Linear Regression Pipeline machine-learning medium #919 Data Aggregation with Pandas coding easy #1836 Controlling Overfitting in Decision Trees and XGBoostseen 2024-06 machine-learning medium

Closing Senior Interview

~25 min to 1 hour+ - prepared questions, resume grilling, behavioral

A final conversation with a senior person, and reports differ on length.

Some describe about 25 minutes of prepared questions plus behavioral, a fit-and-judgment check more than a fresh technical gauntlet.
A recent final ran over an hour: very inquisitive questions on everything on the resume, with the conversation often drifting off-topic and not tied to any team or desk.

Practice this round →

Editorial round — no practice problems.

The day before

Two junior technical rounds: probability, stats, coding (be broad)
Bayesian inference: which coin/model is biased given data
Dynamic programming: buy/sell-stock variants, sequence/queue
Senior background round: defend your projects and choices
Superday data-science problem: OLS, R-squared, multicollinearity, modeling workflow
Closing senior interview: ~25 min to 1 hour+, resume grilling + behavioral

Cheatsheet →

Looking for other firms?

Every firm has a curated interview-questions playlist — a ready-to-drill set of problems matched to how that firm interviews, each with a full worked solution.

Practice every firm's OA: timed replicas, free game replicas and guides in one place →

Drill the Squarepoint Capital practice set (53 problems) → Browse all company playlists →

Squarepoint Capital round-by-round guides

Squarepoint Capital interview guide: the firm, culture, roles and pay →

Stage guides for every firm: superdays · behavioral questions · market-making games

Squarepoint Capital interview — FAQ

What is the Squarepoint Capital interview process?

Squarepoint is a data-driven, systematic multi-strategy quant fund. Loop: optional online assessment, two junior technical rounds (probability, statistics, coding), senior background round, data-science superday, closing senior interview (~25 min to over an hour: prepared questions, resume grilling, behavioral). No trading game. Quant Researcher, Developer and Software Engineer tracks share a heavy probability + coding core. The loop runs 6 stages: Online Assessment (optional), Junior Interview - Round 1, Junior Interview - Round 2, Senior Round - Your Background, Superday - 5-Hour Data-Science Exam, Closing Senior Interview.

How many rounds does Squarepoint Capital have?

6 stages in total, starting with the Online Assessment (optional) and ending with the Closing Senior Interview.

How do I prepare for the Squarepoint Capital interview?

Work the stage notes above, then drill the Squarepoint Capital interview-questions set and the Squarepoint Capital online-assessment practice — each problem has a full worked solution.