One candidate's account of a DraftKings risk analyst interview centers on expected value cases with real-world framing, delivered in a conversational style. See the reported stages, sample problems and how to prepare.
$86K
Avg. Base Comp
$110K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
The only relevant account for DraftKings quantitative-style analyst work comes from a candidate who interviewed for a risk analyst role. That candidate describes a process built around expected value reasoning applied to everyday decisions rather than heavy theory. After a recruiter call and a phone screen, the case study round gave two expected value problems. One compared buying the same groceries at different stores, factoring in coupon rules, the probability the coupon would work, and travel time. Another version used a coupon that applied only above a purchase threshold.
The same candidate says they heard the wider process included a statistics exercise about a grocery store, an optimization-style question about a subway station, and an A/B testing round with more expected value work. Treat that as secondhand and as a hint at themes, not a confirmed sequence.
The tone was casual. The interviewer cared about how the candidate stated assumptions and walked through tradeoffs, not about trick math. A couple of team leads on the risk and fraud side also spoke with the candidate virtually about their background and relevant skills. This candidate did not receive an offer because the role was filled, but was told they were still being considered for other positions.
For preparation, practice setting up expected value calculations with probabilities, thresholds, and hidden costs, and say each assumption out loud before computing. Also be ready to talk through your background clearly. Because this is a single report from an adjacent role, expect variation by team.
Synthesized from 2 candidate reports by our editorial team.
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| Question | |
|---|---|
| Processing Large CSV | |
| Why Do You Want to Work With Us | |
| 2nd Highest Salary | |
| Google Maps Improvement | |
| Compute Deviation | |
| Compute Variance | |
| Integer to Roman | |
| P-value to a Layman | |
| Hurdles In Data Projects | |
| Significance Time Series | |
| Distribution of 2X - Y | |
| Nearest Common Ancestor | |
| Track Your Most Valuable Gamers | |
| Groups of Anagrams | |
| Bootstrapping Confidence Intervals | |
| Subscription Retention | |
| Tower of Hanoi | |
| Time on FB Distribution | |
| Valid Anagram | |
| Find Duplicate Numbers in a List | |
| Simulating Coin Tosses | |
| Spam Classifier | |
| Loan Model | |
| Customer Success vs. Free Trial | |
| Overfit Avoidance | |
| Matrix Rotation | |
| KNN From Scratch | |
| Concurrent LLM Serving | |
| Deciding Between Solutions |
Synthesized from candidate reports. Individual experiences may vary.
The candidate who reported on the risk analyst role says the process began with a recruiter call. The candidate gave little detail about this stage, so confirm the team and expected format directly with the recruiter.
A phone screen followed the recruiter call, according to the same candidate. The report does not describe its content in detail, so prepare to summarize your background and be ready for light quantitative discussion.
The candidate reports two expected value problems, including a grocery-store comparison with coupon rules, a probability that the coupon applies, and travel time. The interviewer seemed most interested in clear assumptions and logical reasoning rather than trick math, and the tone was conversational.
The candidate reports a virtual interview with a couple of team leads on the risk and fraud side about their background and skills relevant to the role. The leads were open about their own backgrounds. The candidate was later told the role had been filled but that they were still being considered for other positions.
