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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.

Same name, different job

Same tool, different weight

How Quant Developer reads across sectors — depth, orientation and the tools each side actually runs.

Wealth

Model scoring and planning maths.

Asset

Signal research, backtests, execution analytics.

How the work gets done

The same four lenses applied to 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.

Trading & rebalancing

1 operation

  • Tax-aware lot selection & wash-sale guard

    daily

    Proposed trades respect ST/LT gain limits, holding-period rules, and cross-account wash-sale windows.

Performance & billing

1 operation

  • TWR/MWR + attribution calc

    monthly

    Time- and money-weighted returns at sleeve, account, and household; attribution by allocation and selection.

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.

    Start the drill
  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 the playbook
    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.

    Book a slot
    Live
Practice & explore

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

Related Fintech Maps

All maps →

Zoom out from the role: see where the work is being rewritten, who's hiring, and how the vendor stack shifts.

Fintech MapAI ImpactWhich capabilities AI is rewriting firstOpen map Fintech MapData FlowHow data moves across the wealth stackOpen map Fintech MapVendor DensityWhere wealth-tech is most crowdedOpen map Fintech MapJobs MapWhere wealth-tech is hiring right nowOpen map
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