Affirm phone screen - fraud detection, pending
Affirm phone screen - fraud detection, pending
Result: Pending Number of Rounds: 1
Phone screen was the fraud detection problem. Part 1: debug existing code that processes customer events with PII data (address, email, SSN). Part 2: implement detection logic to flag fraud events. Not algorithmic. Just careful JSON and dict handling.
Started reading the problem and immediately felt the time pressure. The starter code was 100+ lines which eat up the first 15 minutes even if you read fast.
Got through both parts. Waiting now.
2 YOE
Replies (4)
The fraud detection problem is a known Affirm question. Getting both parts done is a good sign.
Hi, For the PII data problem, what did the problem look like? Also, how did you approach correcting the incorrect method? For the second problem, was it about matching transactions to fraud events? I tried looking for patterns but couldn't find any clues. Thank you in advance!
2 YOE at Affirm is ambitious. Curious how the difficulty felt relative to your experience.
Did they give any time hints or was it just one continuous 60 minute block?
One continuous block. Interviewer let me know when there were 10 minutes left which was helpful.