Hi everyone,
I got an interview for a TikTok USDS Data Science role focused on Payment Risk / Pricing Risk.
The role seems to involve payment fraud, credit losses, financial abuse, transaction monitoring, dashboards, ML-based risk detection, and reducing false positives while maintaining strong fraud recall. It also mentions consumers, merchants, and affiliates, so I’m guessing the work may involve areas like chargebacks, suspicious transactions, merchant risk, payout/disbursement risk, or affiliate abuse.
My first round is expected to be SQL + a risk/product analytics case study, and I’ve never done this exact type of interview before.
Has anyone interviewed for a similar TikTok USDS, payment risk, fraud analytics, fintech risk, or product DS role?
I’m especially curious about:
- What kind of risk case studies come up?
- How should I structure my answer?
- What SQL topics should I focus on?
- Are cases more product-metrics focused, fraud-modeling focused, or business-risk focused?
Any advice or example questions would be super helpful. Thanks!