Role deep-dive· Data & analytics

🧮Quant Developer

Ships the model, the back-test, and the production guardrails.

Sourced from 6 recent JDs · snapshot taken 2026-06-20

Salary Lab · live estimate

What this role pays — by city, years & skill stack

New York · Wall Street + wirehouses + a fintech bench
$191k
$158k$233k median band

Illustrative ranges — calibrated from Levels.fyi, Glassdoor and Robert Half wealth-tech guides. Real offers vary widely by firm, equity, and team. Use this to compare cities & skill stacks, not as a quote.

How the work gets done

The same four lenses we use on every capability and skill page.

Comprehensive financial planning

2 operations
  • Goal modeling (retirement, education, large purchase)

    annual

    Per-goal probability of success with sensitivity to savings rate, retirement age, and return assumptions.

  • Monte Carlo / probability of success

    annual

    Stochastic projection with both deterministic and Monte Carlo views; clients see ranges, not point estimates.

Day-in-the-life

Friday — the factor model drifted again

Your factor model looks great on a back-test and wobbles in prod. You add a reconciliation step between sim and live fills, refit on the trailing 60 days, and design an agent that flags drift when the residual jumps a threshold.

Top skills for this role

  • Job demand30%
  • Job demand75%
  • Job demand58%
  • Job demand28%
  • Job demand35%
  • Job demand52%

How this role evolves

As advisor-facing agents mature, the work splits into judgment humans keep and execution agents own.

Humans keep doing
  • Model intuition
  • Live-vs-sim reconciliation
  • Risk guardrails
Agents take over
  • Back-test execution
  • Drift monitoring
  • Feature-engineering drafts
Adjacent future role
🧪LLM Eval Engineer — Wealth

Builds the benchmark suite that proves a wealth AI doesn't hallucinate around money.

Features you'd touch in this role
Recommended path

How to land — and survive — as a Quant Developer

  1. Step 1 · Free · play now
    Run the Skill DNA drill — see where you stand on ML for portfolio analytics
    Hands-on drill

    A fast, scenario-based self-assessment. Replayable, no signup, 5–10 minutes. Different from the multiple-choice quizzes further down the page.

  2. Step 2 · Premium · full playbook
    Quant Developer playbook (preview)

    Hand-curated checklists, real templates, and the failure modes nobody documents — see the first 30% free.

    Preview
  3. Step 3 · 1:1 · operator session
    Mock interview with an operator

    30-minute 1:1: role-specific case prompts, portfolio review, and offer-negotiation talk-track.

    Live
Practice & explore

Drills, quizzes, vendor matrix, industry map, and reads — all in one place.

Want a mock interview for this role?
Book a 1:1 →