Quantitative Analyst — Career Guide
Quantitative Analyst career guide: top-tier hedge fund and prop trading pay rivals frontier ai labs $195,000 median salary, day-to-day breakdown, required skills, and the path in.
Median salary
$195,000
Salary range
$135K – $595K
Education
Master's degree typically expected
Remote potential
56 / 100
What this role actually does, day-to-day
A typical day in this role breaks down roughly like this. The split shifts with seniority and company stage, but the dominant buckets are stable.
- 32%Modeling / analysis
- 18%Meetings
- 18%Reports & decks
- 12%Data gathering
- 10%Stakeholder calls
- 10%Compliance review
Typical schedule
Weekly hours
~50
hours / week typical
Schedule shape
flexible deep-work
Remote potential
56/100
Travel load
4/100
Salary breakdown
Entry
$135,000
Median
$195,000
Experienced
$285,000
Top 10%
$595,000
US-wide bands calibrated to recent BLS OOH + Levels.fyi signals. Pay varies materially by metro, company stage, and equity component.
Sources
Wage figures are calibrated against the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey (SOC 15-2099)and the U.S. Department of Labor's O*NET OnLine occupation database. Live BLS + O*NET figures will appear here when our data integration is enabled.
Required skills
- Excel / modeling90/100
- Accounting fundamentals80/100
- Attention to detail92/100
- Presentation76/100
- Domain knowledge78/100
The realistic path in
- Step 1Month 0–6
Foundational credential
- CPA / CFA / Series exams as relevant — the credential is non-negotiable in most paths
- Step 2Month 6–18
Entry role
- Big 4 / IB analyst / corp finance role — quality of mentor matters more than firm brand
- Step 3Year 2+
Specialize
- FP&A, corporate development, IB, advisory — branches with distinct ceilings
What you'll love · what you won't
What you'll love
- Top-tier hedge fund and prop trading pay rivals frontier AI labs
- Pure technical merit — pedigree matters less than your alpha
What you won't
- Math/CS PhD pipeline is essentially required for the best seats
- Strategy decay is real — what worked last year may be unprofitable next year
Outlook
Growth (5y)
76/100
Market demand
72/100
Future-proof
80/100
Automation risk
22/100
Honest read
Original analysis
What it's really like to be a Quantitative Analyst
The trait shape, the failure modes, and how compensation actually moves over a career — original analysis built from the same data the rest of this page uses.
Who thrives in this role
Strong Quantitative Analyst candidates share three trait signatures we see consistently across the catalog: execution discipline (we rate this role 88/100 on that axis), analytical thinking (86/100), and autonomy (60/100). Top-tier hedge fund and prop trading pay rivals frontier AI labs. What separates top performers is usually consistency under pressure rather than peak brilliance. Quantitative Analyst work compounds when you finish the unglamorous 80% of the work that mid performers leave unfinished. Reliability matters more than raw talent.
Common pitfalls
Math/CS PhD pipeline is essentially required for the best seats. Entry difficulty is very high (92/100). The credentialing pipeline is long enough that a year-2 dropout costs you more than just the year — your peers will be ahead on the network and the muscle memory that compound across the decade. The career-ending failure mode here isn't usually skill — it's misfit. Test your trait signature against the role before you commit two years of credentialing time.
Day 1 vs Year 5
Day 1. CPA / CFA / Series exams as relevant — the credential is non-negotiable in most paths
Years 1-2. Pay starts below the catalog median ($135k) and stays under the median for the first 2-4 years until you've stacked the credential mass that signals "real" to hiring managers.
Year 5. By year 5, experienced Quantitative Analyst candidates land in the $285k band — meaningfully above the new-entry median. The compounding here is real.
Year 10+. The top decile ($595k) is reachable but never automatic — it requires either deep specialisation, leadership scope, or a switch to equity-compensated work.
Proprietary research
Cohort building · n < 10
What predicts a good Quantitative Analyst fit
This section publishes once at least 10 Work Fit IQ users match Quantitative Analyst at ≥75% confidence on the diagnostic. Below that threshold we suppress the figures rather than publish thin statistics — both for privacy and because a 3-person aggregate isn't useful to anyone.
When the cohort is published, you'll see:
- The sharpest single trait differentiator — which trait separates high-fit Quantitative Analyst candidates from the rest of the Work Fit IQ population most clearly.
- Top-3 trait deltas — cohort median vs baseline median for the three most-discriminating traits.
- The cohort's median cognitive aptitude for users who also took the full aptitude test.
Why this matters: most career advice on the internet generalises across "people who became X" without measuring the trait profile of those who actually thrived. Work Fit IQ does, and these figures get sharper with each completed diagnostic. See methodology.
Frequently asked
6 questions
Quantitative Analyst — common questions
The questions people actually ask about this career, answered with the same data the rest of this page uses — no fluff, no upsell.
- What does a Quantitative Analyst actually do day-to-day?
- An average week breaks down roughly as 32% modeling / analysis, 18% meetings, 18% reports & decks. The rest is admin, ramp-up, and unstructured time that varies by company. The work is mostly analytical in shape, with 60/100 autonomy and 64/100 routine — meaning you'll either be told what to build (low autonomy) or expected to set your own direction (high), and the days will either repeat predictably or shift constantly.
- How do you become a Quantitative Analyst?
- In broad terms: Month 0–6: foundational credential; then Month 6–18: entry role; then Year 2+: specialize. The headline credential is that a master's degree is typically expected, and entry difficulty into the field is very high — multi-year credentialing pipeline before you're in the hiring funnel. The most-cited skills are Attention to detail, Excel / modeling, Accounting fundamentals, Domain knowledge.
- How much does a Quantitative Analyst make?
- In the US the salary band for Quantitative Analyst roles spans roughly $135k entry → $195k median → $285k experienced → $595k top 10%. The wide gap between median and top decile is where specialisation, employer brand, and individual performance compound. Figures are calibrated to publicly available 2024-2026 BLS, O*NET, and Levels.fyi signals.
- What is the job outlook for Quantitative Analyst?
- growing meaningfully faster than the labor-market average. Automation exposure is low; human judgment is the core of the role. Market demand currently sits at 72/100 and the field scores 80/100 on long-term resilience against labor-market shifts. Stress levels are high (72/100) — the role is rewarding but not relaxing.
- Is Quantitative Analyst a good fit for me?
- Take the free Work Fit IQ diagnostic to get a precise per-trait match against Quantitative Analyst and 200 other careers. Without seeing your profile we can say that Quantitative Analyst rewards analytical candidates with strong execution discipline (88/100 weighting in the role) and tolerance for ambiguity around 64/100 — a low number here means the work shifts constantly. Hybrid is the norm — expect 2-3 in-office days at most employers, with full-remote available at a meaningful minority.
- What's the work environment like for a Quantitative Analyst?
- Hybrid is the norm — expect 2-3 in-office days at most employers, with full-remote available at a meaningful minority. Travel demands are minimal in most quantitative analyst roles. Most quantitative analyst roles sit at 58/100 social interaction — meaning your week is balanced between solo focus and stakeholder time.
Answers are calibrated against Work Fit IQ's catalog data plus publicly available 2024-2026 BLS / O*NET / Levels.fyi signals. Take the free diagnostic for a per-trait match against Quantitative Analyst specifically.
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