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Skill Demand Index

Quantitative Degree — Demand & Depth Analysis

Based on 30 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.6%

Demand Rate

L4

Median Depth

3%

Gap Rate

30

Jobs Analyzed

L540% of postings

Expert

Most employers want Quantitative Degree at architect level, not just familiarity.

Overview

What is Quantitative Degree?

Market context for Quantitative Degree in the current job market

Quantitative Degree is required in 0.6% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Quantitative Degree typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Quantitative Degree:

  • •Required in 0.6% of all scored postings — demand is growing as more employers add it to requirements
  • •Employers typically expect L4 depth — architect-level, not just familiarity
  • •Most demand comes from Data Analysis roles — 53% of all Quantitative Degree jobs
  • •Median salary for roles requiring Quantitative Degree: $185K vs $133K for roles that don't — a $50K difference

What L4 means in practice:

L4 (Advanced) means solving hard problems, optimizing workflows, and mentoring others. Employers want someone who can be the go-to person for Quantitative Degree on their team.

This means employers aren't looking for someone who has used Quantitative Degree once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.

Common skill gaps:

The gap rate of 3% means most candidates have adequate Quantitative Degree proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Quantitative Degree most:

Data Analysis positions drive 53% of demand. Data Science / ML and Other also frequently list Quantitative Degree as a requirement. Skills commonly paired with Quantitative Degree include SQL and Data Analytics Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match Quantitative Degree requirements across 30 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
3% (1)
L2 — Basic
10% (3)
L3 — Proficient
23% (7)
L4 — Advanced
23% (7)
L5 — Expert
40% (12)
DOMINANT

Average depth: L3.9·Median depth: L4.0

Salary Correlation

Pay Impact

How Quantitative Degree affects compensation based on postings with disclosed salary data

With Quantitative Degree

$190K

Median $185K

9 jobs

Without Quantitative Degree

$140K

Median $133K

1220 jobs

↑ $50K higher

for roles requiring Quantitative Degree

Skill Demand Insight

“Quantitative Degree appears in 0.6% of all scored jobs.”

From 30 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Quantitative Degree

Role Breakdown

Top Role Categories

Job categories most likely to require Quantitative Degree

Gap Analysis

Gap Rate Explained

How often Quantitative Degree is identified as a skill gap (L0–L1) in scored applications

3%

Very low gap rate — candidates generally have this skill

When Quantitative Degree appears in a job's requirements, 3% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Quantitative Degree in demand in 2026?

Yes. Quantitative Degree appears in 0.6% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 30 analyzed jobs, demand is steady across multiple role types.

What level of Quantitative Degree do most jobs require?

The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.

Does knowing Quantitative Degree increase salary?

Jobs requiring Quantitative Degree pay +$50K more on average. This salary premium makes it a high-value skill to develop.

What other skills pair with Quantitative Degree?

The most common pairings are SQL, Data Analytics Experience, SQL Proficiency, People Management, Data Analysis Experience. Strengthening these alongside Quantitative Degree improves your fit across more positions.

What roles need Quantitative Degree the most?

Top roles: Data Analysis, Data Science / ML, Other, DevOps / Platform. Data Analysis positions have the highest demand at 53% of all Quantitative Degree jobs.

How do I improve my Quantitative Degree level?

L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.

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