Quantitative analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-07, Quantitative analysis appears in 547 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Quantitative analysis, with demand share up 3.9% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-07
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Frequently asked questions about Quantitative analysis
+Is Quantitative analysis in demand in 2026?
Yes. Quantitative analysis appears in 547 job postings indexed by Skillenai over the 90 days ending 2026-10-07. Product Manager accounts for the most postings mentioning Quantitative analysis (25.8% of all postings mentioning Quantitative analysis).
+What jobs require Quantitative analysis?
According to the Skillenai jobs index over the 90 days ending 2026-10-07, among roles with at least 20 postings, the highest shares mentioning Quantitative analysis are Quantitative Risk Analyst (9.5% of that role’s postings mention Quantitative analysis), Quantitative Finance Analyst (8.7% of that role’s postings mention Quantitative analysis), Quantitative Research Intern (8.3% of that role’s postings mention Quantitative analysis).
+What skills are commonly paired with Quantitative analysis?
Across job postings indexed by Skillenai (90 days ending 2026-10-07), Quantitative analysis most often appears alongside Data analysis, qualitative analysis, SQL, Python, data visualization.
+Where is Quantitative analysis most in demand?
As of 2026-10-07, the metro areas posting the most jobs requiring Quantitative analysis are New York City, San Francisco, London, Boston, Toronto, according to the Skillenai jobs index.
+How can I keep up with new Quantitative analysis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Quantitative analysis alongside the jobs index. You can subscribe to a daily email digest of new Quantitative analysis content from your Skillenai account.
+Which skills come before and after Quantitative analysis?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring Quantitative analysis — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Quantitative analysis
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Quantitative analysis
Skills after Quantitative analysis
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: sql | 6 |
| Before: Power BI | 2 |
| Before: documentation | 2 |
| Before: Software as a Service (SaaS) | 1 |
| Before: data quality standards | 1 |
| Before: MuleSoft | 1 |
| Before: cost analysis | 1 |
| Before: fee indexes | 1 |
| After: C++ | 2 |
| After: python | 2 |
| After: machine learning | 2 |
| After: data cleaning | 2 |
| After: data visualizations | 2 |
| After: data analysis | 2 |
| After: MRR | 1 |
| After: predictive analytics | 1 |
Roles most likely to require Quantitative analysis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quantitative Risk Analyst | 2 | 9.5% |
| Quantitative Finance Analyst | 2 | 8.7% |
| Quantitative Research Intern | 2 | 8.3% |
| Quantitative Analyst | 9 | 7.4% |
| Analytics Lead | 4 | 6.9% |
| Quantitative Trader | 4 | 6.8% |
| Agent Engineer | 2 | 6.2% |
| Management Consultant | 1 | 5.0% |
| Credit Risk Manager | 1 | 4.2% |
| Product Management Director | 1 | 4.0% |
Roles with the most Quantitative analysis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 141 | 25.8% |
| Data Scientist | 47 | 8.6% |
| Business Analyst | 31 | 5.7% |
| Product Designer | 23 | 4.2% |
| Data Analyst | 20 | 3.7% |
| Program Manager | 12 | 2.2% |
| Business Manager | 9 | 1.6% |
| Quantitative Analyst | 9 | 1.6% |
| Research Scientist | 9 | 1.6% |
| Business Value Engineer | 6 | 1.1% |
Top companies posting jobs requiring Quantitative analysis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 32 |
| Bah | 16 |
| Barclays | 12 |
| Vanguard | 12 |
| Stripe | 10 |
| City of New York | 6 |
| Gartner | 6 |
| Sterlington PLLC | 6 |
| OpenBrain | 6 |
| Suno | 5 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for Quantitative analysis
| Name | Postings | Share |
|---|---|---|
| New York City | 34 | 6.2% |
| San Francisco | 19 | 3.5% |
| London | 13 | 2.4% |
| Boston | 11 | 2.0% |
| Toronto | 11 | 2.0% |
| Seattle | 8 | 1.5% |
| Amsterdam | 7 | 1.3% |
| Arlington | 7 | 1.3% |
| Chicago | 7 | 1.3% |
Skills commonly paired with Quantitative analysis
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-07. 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 Quantitative analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Quantitative analysis postings by all Quantitative analysis 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). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- b569cc4cfe62afb6
- data_as_of
- 2026-10-07
- 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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