fraud prevention jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, fraud prevention appears in 327 job postings indexed by Skillenai over the past 90 days — most often required for Product Manager roles, with demand down 64% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about fraud prevention
+Is fraud prevention in demand in 2026?
Yes. fraud prevention appears in 327 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 64% vs the prior 4 weeks. It is most often required for Product Manager roles (20% of Product Manager postings list it).
+What jobs require fraud prevention?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require fraud prevention are Product Manager (20% of postings list fraud prevention), Software Engineer (10% of postings list fraud prevention), Engineering Manager (4% of postings list fraud prevention).
+What skills are commonly paired with fraud prevention?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), fraud prevention most often appears alongside SQL, Python, fraud detection, Data analysis, machine learning.
+Where is fraud prevention most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring fraud prevention are San Francisco, London, New York City, Singapore, São Paulo, according to the Skillenai jobs index.
+How can I keep up with new fraud prevention content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning fraud prevention alongside the jobs index. You can subscribe to a daily email digest of new fraud prevention content from your Skillenai account.
Weekly job postings requiring fraud prevention — last 90 days
Job titles most likely to require fraud prevention
| Role | Postings mentioning | % requiring |
|---|---|---|
| Product Manager | 65 | 19.9% |
| Software Engineer | 33 | 10.1% |
| Engineering Manager | 12 | 3.7% |
| Fraud Data Analyst | 12 | 3.7% |
| Senior Product Manager | 10 | 3.1% |
| Backend Engineer | 7 | 2.1% |
| Data Scientist | 7 | 2.1% |
| Staff Product Manager | 6 | 1.8% |
| Business Analyst | 5 | 1.5% |
| Data Science Manager | 5 | 1.5% |
Top metros hiring for fraud prevention
| Name | Postings | Share |
|---|---|---|
| San Francisco | 36 | 27.3% |
| London | 16 | 12.1% |
| New York City | 16 | 12.1% |
| Singapore | 16 | 12.1% |
| São Paulo | 14 | 10.6% |
| Toronto | 10 | 7.6% |
| Tel Aviv | 9 | 6.8% |
| Seattle | 8 | 6.1% |
| Bengaluru | 7 | 5.3% |
Skills commonly paired with fraud prevention
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 61911c74005665d0
- data_as_of
- 2026-05-17
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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