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AI Whistleblower Policy Benchmark Analyst

Felvix Tech

Remote · $80k – $100k / year · Full-time · Posted 3 months ago

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About the role

Our mission is to help compliance teams stay ahead of regulatory change instead of reacting to it after the fact. Right now, our horizon scanning tools flag upcoming regulations well, but clients still ask us to manually benchmark their internal policies against peers. You will build a model that scores client whistleblower and internal reporting policies against a continuously updated peer benchmark set, flagging specific gaps before they become audit findings. You'll work closely with our policy research team, whose curated peer policy corpus becomes the training and evaluation foundation for your benchmarking model.

Fully remote.

Responsibilities

  • Build a model scoring client whistleblower policies against a peer benchmark corpus
  • Flag specific policy gaps likely to surface in external audits
  • Maintain the peer policy dataset in partnership with the policy research team
  • Produce client-facing benchmark reports on a recurring cadence
  • Validate benchmark scores against known audit findings where available

Requirements

  • 3+ years in compliance analytics or regulatory technology
  • Strong Python, SQL, and statistics background
  • Comfortable producing client-facing analytical reports
  • Interest in corporate governance and compliance policy

Benefits

  • Fully remote position
  • Health and dental insurance
  • Professional development budget
  • Direct client-facing exposure

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Categories

AI Business, Marketing & Strategy

Skills

python sql statistics

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

AI Business, Marketing & Strategy

Skills

python sql statistics

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