AQR Capital Management hires Software / Quant Developer, Quant Researcher and Risk Researcher. Candidates report 4 interview stages depending on the track (6 distinct rounds across all tracks). Below: what each round tests and how to prepare, the path by track, the timeline, pay and a 4-week prep plan, drawn from candidate reports and AQR Capital Management's own recruiting pages.
AQR Capital Management interview: quick answer
- StagesBy track: Software / Quant Developer: 4 · Quant Researcher: 4 (6 distinct rounds across all tracks)
- Online assessment75–90 min · 3 problems · HackerRank / CodeSignal
- Final roundOn-Machine Onsite: 2–3 hr project + 3–4 × 45-min rounds
- Pay (candidate-reported)Software / Quant Developer, New grad: $180k – $280k total comp
- RolesSoftware / Quant Developer, Quant Researcher, Risk Researcher
Preparing for AQR Capital Management? Work the rounds in order in the free AQR Capital Management interview funnel, or start with the free online-assessment sample (no signup).
The AQR Capital Management interview process at a glance
| # | Round | Format and length | Who takes it | Prep |
|---|---|---|---|---|
| 1 | Online Assessment | 75–90 min · 3 problems · HackerRank / CodeSignal | Software / Quant Developer | OA guidePractice |
| 2 | Phone Screen | ~1 hr · engineer / hiring manager | All tracks | GuidePractice |
| 3 | PnL-Calculator Take-Home | ~1 week · design project | All tracks | GuidePractice |
| 4 | On-Machine Onsite | 2–3 hr project + 3–4 × 45-min rounds | Software / Quant Developer | GuidePractice |
| 5 | QR Technical Rounds | 2 back-to-back · ~1 hr each | Quant Researcher | GuidePractice |
| 6 | QR Superday | 4 × 45-min (sometimes written exams + stress interview) | Quant Researcher | GuidePractice |
Stages are listed in the order candidates report them. Formats come from candidate reports and change between cycles, offices and teams; the "Who takes it" column shows which track each round belongs to.
How the AQR Capital Management process differs by track
AQR Capital Management runs separate loops for different roles. Here is the path each track reports, in order:
- Software / Quant Developer (4 stages): Online Assessment → Phone Screen → PnL-Calculator Take-Home → On-Machine Onsite
- Quant Researcher (4 stages): Phone Screen → PnL-Calculator Take-Home → QR Technical Rounds → QR Superday
Not sure which track fits you? See quant trader vs quant researcher.
Every AQR Capital Management round: what it tests and how to prepare
1Online Assessment
The coding gate. Later sittings randomize from a wider bank (jump-game DP, count islands, palindrome insertions, a hard range max-of-(max−min) that often TLEs).
Question types: mostly coding, especially sorting and searching, complexity analysis, data structures and arrays. Latest candidate report for this round: Jun 2026.
How to prepare
- Know the classic 3 cold — fast exponentiation (O(log q), overflow-safe), counting sort, and the digit-boundary split-sort-concat.
- For the range max-of-(max−min) problem, reach for a segment tree / sparse table — naive TLEs.
- Watch overflow and edge cases — these are graded on correctness + complexity.
AQR Capital Management online assessment guide →Practice this round (22 questions) →
2Phone Screen
Often resume + behavioral + CS/OOP concepts (encapsulation, polymorphism, SOLID, list vs set, sorting complexity, SQL indexes, many-to-many modeling) with frequently NO live coding, though sometimes a single maze / shortest-path link.
Question types: mostly coding, especially divide and conquer and sorting and searching. Latest candidate report for this round: Jun 2018.
How to prepare
- Be fluent in OOP + design fundamentals (SOLID, encapsulation/polymorphism) and basic SQL (indexes, joins, many-to-many).
- Know complexity trade-offs for common structures (list vs set, sorting).
- Have one clean BFS/shortest-path ready in case they share a coding link.
Full Phone Screen guide →Practice this round (4 questions) →
3PnL-Calculator Take-Home
The signature take-home: design and build a PnL calculator that parses two message files and computes P&L for long/short positions. Graded on object-oriented design, structure, code style, and comments, not just correctness.
How to prepare
- Design first — clean OOD (positions, trades, a calculator) beats a monolith.
- Handle long/short and edge cases (partial fills, ordering) and document assumptions.
- Readable, commented code is explicitly part of the grade.
4On-Machine Onsite
A morning on-machine project, a Task Scheduler (Course-Schedule-II variant with per-task time windows + durations → topological sort + heap) reviewed by an engineer, then algorithm + behavioral rounds: binary search on a continuous range (find x for monotonic y=f(x)), tree paths summing to a target that may bend, a fixed-size O(1) insert/delete container, and standard graph/DP.
Question types: mostly coding, combinatorics and optimization, especially arrays, data structures, sorting and searching and graph algorithms. Latest candidate report for this round: Dec 2019.
How to prepare
- Practice topological sort + heap for the Task Scheduler — it's the centerpiece on-machine round.
- Tree path-sum where the path can bend (left-chain + node + right-chain) is a manager's signature; handle the BST optimization.
Full On-Machine Onsite guide →Practice this round (33 questions) →
5QR Technical Rounds
Heavy statistical inference plus hands-on pandas/statsmodels, then a deep dive on your own research. OLS assumptions and what breaks them, deriving β, writing a covariance function, outlier analysis, and return-skewness reasoning (is this series reversed? markets skew negative, single names positive).
Question types: mostly regression, linear algebra and expectation, especially variance, matrix operations, correlation and eigenvalues. Latest candidate report for this round: Jul 2020.
How to prepare
- OLS is asked every round — assumptions, violations, derive β, and when it's BLUE.
- Be hands-on with pandas/statsmodels — groupby/filter, window functions, fitting a regression live.
- Return-skewness intuition distinguishes index vs single-name series — a recurring tell.
Full QR Technical Rounds guide →Practice this round (11 questions) →
6QR Superday
A flown-out superday covering statistical inference, finance (fixed income + other asset classes), ML, your projects, and behavioral, sometimes with three written exams (finance / math / programming), six 30-min 1:1s, and a deliberate stress interview. Whiteboard coding is light; DS&A is mostly conceptual.
- Short timed written exams plus up to six interview rounds.
Question types: mostly regression, coding and finance, especially variance, matrix operations, portfolio theory and correlation. Latest candidate report for this round: Apr 2024.
How to prepare
- Finance breadth: CAPM, Sharpe, VaR (incl. of an option), fixed income / bond duration, and basic macro (QE).
- Know your ML fundamentals (regularization/LASSO-Ridge λ, boosting, overfitting) at a conceptual level.
- Stay composed in the stress round — they're testing temperament, not trying to fail you.
Full QR Superday guide →Practice this round (20 questions) →
Practice the AQR Capital Management rounds in order
Each round in the AQR Capital Management funnel has its own practice set, with worked solutions and progress tracking. A free account saves your progress across rounds.
A 4-week AQR Capital Management prep plan
Built from the order of AQR Capital Management's rounds on the Software / Quant Developer path and the topics in each round's practice set. Compress it if your first interview is sooner. Other tracks can swap in their own rounds from the table above.
| When | Focus | What to do |
|---|---|---|
| Week 1 | Foundations | Review coding, regression and optimization, the topics that dominate AQR Capital Management's practice sets. Start with Quant coding course and Statistics & regression course. Work the easy and medium questions in the AQR Capital Management question set. |
| Week 2 | Early rounds: Online Assessment | Practice coding under time pressure, and take the free OA sample (format notes in the OA guide). Talk every answer through out loud; interviewers score the reasoning. |
| Week 3 | Later rounds: Phone Screen, PnL-Calculator Take-Home and On-Machine Onsite | Move to combinatorics and optimization. Do timed coding sessions in your interview language. Read how quant superdays work. |
| Week 4 | Rehearse the full loop | Run each practice round in order, redo the questions you missed, and prepare two project stories plus a specific answer to "why AQR Capital Management?" (see behavioral questions at trading firms). |
AQR Capital Management pay
| Role | Level | Total comp | Notes |
|---|---|---|---|
| Software / Quant Developer | New grad | $180k – $280k | Engineering comp (~$200k anecdotes); take-home + on-machine onsite gated. |
| Quant Researcher | New grad / PhD | $250k – $450k | PhD-skewed research track; statistics probed in every round. |
Total compensation means base salary plus bonus and any sign-on, as candidates self-report it. Job postings usually show base salary only, so posted figures and outside salary pages often look lower. Rough ranges, NOT offers. AQR comp is strong though typically below the top prop shops; SWE anecdotes ~$200k. Visa/green-card policy is repeatedly flagged as uncompetitive. Source: Candidate self-reports (levels.fyi, Glassdoor, and candidate forums) — not employer-verified. Last updated May 29, 2026.
AQR Capital Management teams and what their interviews test
The Software/Quant-Developer track (most common) runs OA → CS-fundamentals phone → a PnL-calculator take-home → an on-machine onsite (Task Scheduler) + algorithm rounds. Quant Research (PhD-heavy) is two technical rounds + a flown-out superday, with statistics/finance/ML probed throughout. Risk Research is finance-theory-heavy.
| Tracks | What it does | What its interviews test |
|---|---|---|
| Software / Quant Developer Software Engineer | Research and trading infrastructure. | See the round-by-round section above. |
| Quant Researcher Quant Researcher | Factor and signal research. PhD-heavy. | Two technical rounds (statistical inference + pandas/statsmodels + project deep-dive) → superday. |
| Risk Researcher Risk Researcher | Portfolio risk and implementation. | Open-ended finance: construct a momentum FX portfolio + weights, compute VaR of an option, CAPM/Sharpe/duration, with heavy follow-ups. |
About AQR Capital Management
| Firm type | Systematic quant hedge fund |
|---|---|
| Trading style | Academic factor research; engineering-deep · Systematic factor / multi-asset |
| Founded | 1998 |
| Headquarters | Greenwich, CT |
| Other offices | false |
| AUM | ~$180B+ (2025) |
| Employees | ~1,000 |
| Reported performance | flagships +double digits (2024-25) |
Culture
Academic and research-driven (founders came out of the factor-investing literature). Recruiting is lengthy with long gaps, mostly recruiter-sourced. A recurring friction point: green cards are only sponsored after ~2 years and H-1B time is scrutinized — several rejections cite visa status.
What the interviews feel like
Engineering and statistics depth, not speed games. SWE is algorithms + OOD + a take-home design project; research is statistics/finance theory probed in every round.
Practice for AQR Capital Management on QuantVault
Practice
Courses
Further reading
- How quant superdays work
- Behavioral questions at trading firms
- Market-making game interview guide
- The quant interview process, explained
Similar firms to compare
Firms with a similar business and interview style. Many candidates interview at several of them in the same cycle.
Sources and how this guide is built
- Updated October 20, 2026; firm data last reviewed May 29, 2026; pay last updated May 29, 2026.
- Round detail draws on 47 questions candidates report from AQR Capital Management interviews (the most recent report across all rounds is from Jul 2026). A separate curated AQR Capital Management question set of 55 problems collects the most useful practice for this firm.
- AQR Capital Management's own pages: AQR careers.
- Public candidate reports and outside interview guides are cross-checked against each other. Where they disagree the page says "reports differ"; details from a single source are marked as candidate reports.
- No actual interview questions are reproduced on this page. The questions, with worked solutions, are in the practice rounds.
AQR Capital Management interview FAQ
How many rounds are in the AQR Capital Management interview?
It depends on the track: Software / Quant Developer: 4; Quant Researcher: 4 stages. Across all tracks candidates report 6 distinct rounds: Online Assessment, Phone Screen, PnL-Calculator Take-Home, On-Machine Onsite, QR Technical Rounds, QR Superday.
Is there an online assessment at AQR Capital Management?
Candidates report one: 75–90 min · 3 problems · HackerRank / CodeSignal. The coding gate. Later sittings randomize from a wider bank (jump-game DP, count islands, palindrome insertions, a hard range max-of-(max−min) that often TLEs).
What happens in the AQR Capital Management final round?
On-Machine Onsite (2–3 hr project + 3–4 × 45-min rounds). A morning on-machine project, a Task Scheduler (Course-Schedule-II variant with per-task time windows + durations → topological sort + heap) reviewed by an engineer, then algorithm + behavioral rounds: binary search on a continuous range (find x for monotonic y=f(x)), tree paths summing to a target that may bend, a fixed-size O(1) insert/delete container…
Does the AQR Capital Management process differ by role?
Yes. Software / Quant Developer: Online Assessment, Phone Screen, PnL-Calculator Take-Home, On-Machine Onsite. Quant Researcher: Phone Screen, PnL-Calculator Take-Home, QR Technical Rounds, QR Superday.
How much does AQR Capital Management pay?
Candidate-reported total compensation: Software / Quant Developer (New grad) $180k – $280k; Quant Researcher (New grad / PhD) $250k – $450k. These are self-reported totals including bonus, not offers; job postings usually list base salary only.
How should I prepare for the AQR Capital Management interview?
Prepare round by round over about four weeks: foundations first, then the early rounds (Online Assessment, Phone Screen, PnL-Calculator Take-Home), then the later rounds, then a full rehearsal. Each round has its own practice set on QuantVault, and the online assessment has a dedicated guide.
What does AQR Capital Management do?
AQR Capital Management is a systematic quant hedge fund headquartered in Greenwich, CT.
Is there a trading game at AQR?
No. None is reported.
Is there a take-home for AQR quant research?
Some candidates get one. Reports describe either a practical model-building assignment or a short maths and algorithms take-home.
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