fraud detection jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-24, fraud detection appears in 531 job postings indexed by Skillenai over the past 90 days — most often required for Product Manager roles, with demand up 38% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-24
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Frequently asked questions about fraud detection
+Is fraud detection in demand in 2026?
Yes. fraud detection appears in 531 job postings indexed by Skillenai over the 90 days ending 2026-07-24, with demand up 38% vs the prior 4 weeks. It is most often required for Product Manager roles (14% of Product Manager postings list it).
+What jobs require fraud detection?
According to the Skillenai jobs index over the 90 days ending 2026-07-24, the job titles most likely to require fraud detection are Product Manager (14% of postings list fraud detection), Software Engineer (13% of postings list fraud detection), Data Scientist (12% of postings list fraud detection).
+What skills are commonly paired with fraud detection?
Across job postings indexed by Skillenai (90 days ending 2026-07-24), fraud detection most often appears alongside Python, machine learning, SQL, Data analysis, data pipelines.
+Where is fraud detection most in demand?
As of 2026-07-24, the metro areas posting the most jobs requiring fraud detection are New York City, San Francisco, Bengaluru, Toronto, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require fraud detection
| Role | Postings mentioning | % requiring |
|---|---|---|
| Product Manager | 74 | 13.9% |
| Software Engineer | 69 | 13.0% |
| Data Scientist | 63 | 11.9% |
| Machine Learning Engineer | 26 | 4.9% |
| Applied AI Engineer | 21 | 4.0% |
| AI Engineer | 9 | 1.7% |
| Business Intelligence Engineer | 8 | 1.5% |
| Data Analyst | 8 | 1.5% |
| Staff Software Engineer | 8 | 1.5% |
| Engineering Manager | 5 | 0.9% |
Top metros hiring for fraud detection
| Name | Postings | Share |
|---|---|---|
| New York City | 38 | 7.2% |
| San Francisco | 34 | 6.4% |
| Bengaluru | 21 | 4.0% |
| Toronto | 21 | 4.0% |
| London | 20 | 3.8% |
| Tel Aviv | 8 | 1.5% |
| Seattle | 7 | 1.3% |
| Bogotá | 5 | 0.9% |
| São Paulo | 5 | 0.9% |
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 2026-07-24. 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
- 2026-07-24
- 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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