fraud detection jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, fraud detection appears in 681 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 42% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about fraud detection
+Is fraud detection in demand in 2026?
Yes. fraud detection appears in 681 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 42% vs the prior 4 weeks. It is most often required for Software Engineer roles (12% of Software Engineer postings list it).
+What jobs require fraud detection?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require fraud detection are Software Engineer (12% of postings list fraud detection), Data Scientist (12% of postings list fraud detection), Product Manager (8% of postings list fraud detection).
+What skills are commonly paired with fraud detection?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), fraud detection most often appears alongside Python, machine learning, SQL, Data analysis, anomaly detection.
+Where is fraud detection most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring fraud detection are New York City, San Francisco, Toronto, Bengaluru, London, according to the Skillenai jobs index.
+How can I keep up with new fraud detection content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning fraud detection alongside the jobs index. You can subscribe to a daily email digest of new fraud detection content from your Skillenai account.
Weekly job postings requiring fraud detection — last 90 days
Job titles most likely to require fraud detection
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 84 | 12.3% |
| Data Scientist | 78 | 11.5% |
| Product Manager | 56 | 8.2% |
| Machine Learning Engineer | 30 | 4.4% |
| Staff Software Engineer | 20 | 2.9% |
| Fraud Data Analyst | 15 | 2.2% |
| AI Engineer | 12 | 1.8% |
| Backend Engineer | 10 | 1.5% |
| Backend Software Engineer | 10 | 1.5% |
| Engineering Manager | 10 | 1.5% |
Top metros hiring for fraud detection
| Name | Postings | Share |
|---|---|---|
| New York City | 58 | 25.0% |
| San Francisco | 52 | 22.4% |
| Toronto | 23 | 9.9% |
| Bengaluru | 22 | 9.5% |
| London | 19 | 8.2% |
| Paris | 19 | 8.2% |
| Singapore | 18 | 7.8% |
| Seattle | 11 | 4.7% |
| Amsterdam | 10 | 4.3% |
Skills commonly paired with fraud detection
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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
- ef47b08d434d2ea0
- 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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