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Finance

Not included unless you switch them on: 455,670 postings from Fortune 500 career sites and 89,801 postings from small-employer job boards and 32,618 postings from US federal jobs, collected since 27 September 2026. The published figures stay on the panel they have always used.

How Finance relates to the other programs

5,889 of the 181,899 postings in the United States in the last 90 days count toward Finance (3.2%), the 6th largest of the 11 programs. 4,772 count toward it alone; 1,117 also count toward another program. 24.4% are AI-related, against 36.0% across all postings: the 10th highest of the 10 programs with enough postings to say.

Strategic Management: 6% in commonMarketing: 6% in commonBusiness Management: 6% in commonInformation Systems: 4% in commonSales: 3% in commonEntrepreneurial Management: 0.9% in commonExperience Design and Management: 2% in commonHuman Resource Management: 3% in commonAccounting: 6% in commonGlobal Supply Chain Management: 5% in commonFIN in the middle; the other programs overlap it in proportion to what they share.

Finance is the large circle. Each small circle overlaps it in proportion to how much of its job titles it shares with Finance: the most alike program has 80% of its area inside, a program with half that similarity half as much, and one that shares nothing just touches. Around the ring, programs sit next to the ones they share most with. The number in each circle is the exact figure; every circle opens that program.

Most alike on job titles

  1. Strategic Management6% in common105 postings count toward both

    director · manager · senior manager · product lead · product owner

  2. Business Management6% in common515 postings count toward both

    director · manager · product lead · senior manager · product owner

  3. Accounting6% in common188 postings count toward both

    director · manager · senior manager · vice president

  4. Marketing6% in common77 postings count toward both

    director · senior manager · product lead · manager · product owner

  5. Global Supply Chain Management5% in common44 postings count toward both

    director · manager · senior manager · sr. manager

  6. Information Systems4% in common296 postings count toward both

    director · manager · product manager · senior manager · product owner

  7. Human Resource Management3% in common23 postings count toward both

    director · manager · senior manager · senior director

  8. Sales3% in common148 postings count toward both

    director · manager · senior manager · senior director · vice president

  9. Experience Design and Management2% in common

    director · senior manager · manager

  10. Entrepreneurial Management1% in common

Commonest titles, only Finance

  1. j.p. morgan wealth management 289
  2. financial advisor 118
  3. senior financial analyst 104
  4. financial analyst 101
  5. wealth management client associate 99
  6. director 98
  7. manager 77
  8. registered wealth management client associate 71

Commonest titles, shared

  1. vp 54
  2. financial consultant 28
  3. director 25
  4. senior financial analyst 20

“In common” is the share of the two programs’ job titles mixes that they hold together: for each item, the smaller of its two shares, summed, over the larger, summed. Items shown are the ones both programs ask for most, each held by at least 20 postings in both. Last 90 days, every geography. A posting counts toward a program when the discipline classifier assigns it there (how postings are classified).

Where Finance postings fall across the four quadrants

Each bar counts Finance postings in one quadrant, not the whole quadrant. The filled part is how many of those are AI-related. The last figure on each row turns it round: how much of that whole quadrant of the labour market Finance postings make up. Last 90 days, by real posting date. Each quadrant’s name opens it on the overview, across every program.

What the four quadrants are cut on. The capabilities a posting asks for, read from its description. A role naming three or more distinct engineering capabilities has builder depth; three or more business capabilities gives business depth. Both is Hybrid, neither is AI-thin. There are four because two yes-or-no tests cross, which is what makes them quadrants rather than a list. The threshold of three is the one the source analysis used, adopted rather than reinvented so the two stay comparable.

The 5,889 postings drawn here are this program’s share of the panel: postings carrying a real posting date from the last 90 days in the United States that the discipline classifier assigns to it. A posting can count toward more than one program. Quadrants with fewer than 20 postings are left out, and AI shares are withheld below 200.

What each quadrant asks for

Ranked by how far Business-deep AI sits from the other quadrants, not by how often the item appears. The bar is this region; the ticks are the others. An item everybody asks for tells you nothing about where you are.

Business competencies

Derived, not primitive: clusters this project builds out of the terms above. A competency spans kinds rather than being one.

A derived layer: constructs a named scheme builds out of the terms, not a kind of term. Read it beside the three above, not as a fourth of them.

  • Commercial / go-to-marketnearly every posting asks for this
    97%+17.1 points vs the other two
  • Technical build & data platformabout 47 in 100 postings ask for this
    47%−9.6 points vs the other two
  • Process, governance & changeabout 47 in 100 postings ask for this
    47%+5.8 points vs the other two
  • Product & customer discoveryabout 11 in 100 postings ask for this
    11%−5.7 points vs the other two
  • Professional conduct & communicationabout 68 in 100 postings ask for this
    68%+4.4 points vs the other two
  • Responsible AIabout 2 in 100 postings ask for this
    2.4%−0.1 points vs the other quadrant

Shares are of postings in this region over the last 90 days, by real posting date, in the geography chosen above. These figures were fixed to the United States until 22 September 2026 and could not follow that choice; they can now.

Where these numbers come from

10,244 Finance postings have been collected in all. The figures above use 5,889 of them: the last 90 days (8,977), and of those, the ones in the United States. Each bar is one source.

The sources ask for AI at very different rates because they were collected for different reasons, so the 24.4% AI share at the top of the page is a mix of them and moves with that mix. Compare sources side by side rather than reading the pooled figure as the market’s. How each source is collected, and why they are never pooled for the market figures, is under the four sub-corpora on the research page.

What this page cannot tell you yet

No job titles from this program

The rules matching postings to this discipline were written without input from the people who know where these graduates go. Titles you supply become candidate rules, measured against the corpus before anything is published.

No employers from this program

None of the employers who actually hire your graduates have been named, so the panel can only describe firms that happen to post on the boards already collected. Named employers are resolved to their public job feed and collected directly.

Two things from you change all of the above. The job titles your graduates commonly take, and the employers who commonly hire them. Titles become candidate classifier rules; employers become collection targets, deduplicated across every program so the ones several of you name independently get resolved first.

Sign in to add them. Everything you enter is stored as a claim from your program, never merged into the posting evidence, and shown with your program named beside it.

How the panel is built · Methodology