Backtesting jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Backtesting appears in 209 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning Backtesting, with demand down 6% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Backtesting
+Is Backtesting in demand in 2026?
Yes. Backtesting appears in 209 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 6% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning Backtesting (23.9% of all postings mentioning Backtesting).
+What jobs require Backtesting?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Backtesting are Quantitative Risk Analyst (14.3% of that role’s postings mention Backtesting), Quantitative Researcher (12.7% of that role’s postings mention Backtesting), Quantitative Analyst (10.0% of that role’s postings mention Backtesting).
+What skills are commonly paired with Backtesting?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Backtesting most often appears alongside Python, machine learning, SQL, feature engineering, pandas.
+Where is Backtesting most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Backtesting are New York City, London, San Francisco, Hong Kong, Amsterdam, according to the Skillenai jobs index.
+How can I keep up with new Backtesting content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Backtesting alongside the jobs index. You can subscribe to a daily email digest of new Backtesting content from your Skillenai account.
Weekly job postings requiring Backtesting — last 90 days
Roles most likely to require Backtesting
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quantitative Risk Analyst | 3 | 14.3% |
| Quantitative Researcher | 22 | 12.7% |
| Quantitative Analyst | 11 | 10.0% |
| AI Security Researcher | 2 | 10.0% |
| Quantitative Finance Analyst | 2 | 9.1% |
| Quantitative Developer | 7 | 8.4% |
| Principal Data Scientist | 2 | 5.1% |
| Quantitative Research Intern | 1 | 4.3% |
| Business Operations Analyst | 1 | 3.1% |
| Algorithm Engineer | 1 | 2.9% |
Roles with the most Backtesting postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 50 | 23.9% |
| Quantitative Researcher | 22 | 10.5% |
| Quantitative Analyst | 11 | 5.3% |
| Software Engineer | 10 | 4.8% |
| Quantitative Developer | 7 | 3.3% |
| Data Engineer | 6 | 2.9% |
| Machine Learning Engineer | 4 | 1.9% |
| VP Engineering | 4 | 1.9% |
| Data Analyst | 3 | 1.4% |
| Product Manager | 3 | 1.4% |
Top metros hiring for Backtesting
| Name | Postings | Share |
|---|---|---|
| New York City | 27 | 12.9% |
| London | 13 | 6.2% |
| San Francisco | 8 | 3.8% |
| Hong Kong | 6 | 2.9% |
| Amsterdam | 5 | 2.4% |
| Berlin | 5 | 2.4% |
| Singapore | 5 | 2.4% |
| São Paulo | 5 | 2.4% |
| Bengaluru | 4 | 1.9% |
Skills commonly paired with Backtesting
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Backtesting by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Backtesting postings by all Backtesting postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- ca887cb2922d6e30
- data_as_of
- 2026-09-28
- 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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