How many interview rounds does DRW Holdings have for Data Scientist candidates?

DRW Holdings reports 4 interview experiences for the Data Scientist role. The process typically includes resume screening, an online assessment, a technical phone screen, and a superday with multiple technical rounds and deep dive interviews.

What is the online assessment like for DRW Holdings Data Scientist interviews?

The online assessment is a challenging timed test that measures math speed and accuracy under pressure. It is designed to evaluate how well you perform when time is constrained and questions are quantitative.

What topics does DRW Holdings test for Data Scientist interviews?

Expect heavy evaluation of probability theory and statistics, plus linear algebra and machine learning foundations. The top tested areas include probability theory, statistics, matrix algebra, linear algebra, linear regression, machine learning, and mathematical foundations for quantitative skills.

What technical skills are emphasized in DRW Holdings Data Scientist interviews, based on the question examples?

You may be asked eigenvalues, eigenvectors, and how PCA relates to them, which ties directly to the linear algebra focus. There can also be question types that test structured prioritization, such as prioritizing competing deadlines.

What is the DRW Holdings Data Scientist pay range?

Candidate-reported and job-posting reports provided for this role do not include specific pay figures. Pay can vary by level and location, but no exact compensation numbers are supported by the available data for the Data Scientist role.

How hard is it to get an offer at DRW Holdings for a Data Scientist role?

In reported interviews for this role, the most common difficulty is listed as average. The offer rate is 0 percent in the available experience statistics, so competition may be high for the limited observed interviews.

Drw HoldingsData Scientist

Updated Jan 20, 2025

Drw Holdings Data Scientist Interview Experiences 2026

Real, anonymous reports from people who interviewed for Data Scientist at Drw Holdings, newest first and distilled into what to expect across the loop.

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Hot & recentNewest first

> 1 year

Average Positive Montreal, QC

After applying, the first step was an online assessment with a tight time box—around 45 minutes in the versions I saw described—testing probability and stats with some linear algebra mixed in. In my assessment, there were only a couple of questions but they still demanded coding, including a math-and-coding task and something more directly related to KNN. The whole thing was timed enough that I felt the pressure to move quickly rather than polish details.

Once that stage ended, I either didn’t get past it or didn’t reach later rounds—so most of my experience was concentrated in the assessment itself. The questions were consistently in the quant lane: probability, statistics, and ML-adjacent reasoning, with some tests going deeper into how linear regression can fail and what to do about it, and some tests mixing in calculus and portfolio-style topics. There were also versions where time management was the real killer; even when the questions weren’t impossible, finishing them on time was hard.

> 1 year

Difficult Negative Singapore

Before I even reached an interview, I had to clear a combination of tests: a math/stats/programming test followed by an intermediate-level programming assignment. Once I passed those, the process moved into interviews.

My first interview felt more general, with relatively few technical questions. Then the second round hit much harder and shifted into deep technical math. The topics were the specific classes I’d taken in college—regression, probability, Monte Carlo simulations, and stochastic calculus—and the questions were extremely specific, the kind that assume you can translate course material into exact problem-solving steps. I went in expecting more of a programming-focused conversation, so the intensity of the technical mathematics came as a surprise.

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What to expect

Distilled from the reports

Online Assessment

Candidates typically start with a timed online assessment focused on math, statistics, and programming, which can vary in difficulty and format, often requiring quick problem-solving under pressure.

ProbabilityStatisticsCoding

Technical Interview Rounds

Following the assessment, candidates engage in multiple technical interview rounds that delve into quantitative problem-solving, with a strong emphasis on explaining reasoning and applying mathematical concepts relevant to finance and trading.

QuantitativeMath-heavyFinance

Behavioral and Experience Discussion

Initial interviews often include a discussion of the candidate's resume and prior experiences, but the focus quickly shifts to technical skills, with some candidates noting that this part felt less critical than the technical evaluations.

Resume ReviewExperienceBehavioral

Pressure and Timing

Candidates report a significant emphasis on time management throughout the process, with many feeling that the ability to perform under tight time constraints was a key evaluation criterion.

Time ManagementPressurePacing

Diverse Assessment Experiences

There are varied experiences regarding the online assessments, with some candidates finding them straightforward while others describe them as challenging and poorly phrased, leading to confusion and time management issues.

Assessment DifficultyClarityVaried Experiences

Outcome and Feedback

Most candidates report not receiving offers, often feeling that the rejection was tied to performance in the assessments and technical rounds, with some expressing uncertainty about how their backgrounds aligned with the company's expectations.

RejectionFeedbackExpectations