Staff Threat Analyst, Ads Fraud

Reddit

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$167,500–$234,500 / yr
Posted
53 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $201k
$112k $248k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $136,750–$225,825 — the blue band above. At the midpoint, this role pays about $201k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 92 open roles on FindRole.

Listed pay typically runs $216,700–$303,000 across 92 roles with salary data.

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At a glance

TL;DR · Staff Threat Analyst, Ads Fraud

The Staff Threat Analyst, Ads Fraud joins the Safety team to serve as the operational architect for advertiser fraud. This role involves end-to-end ownership of establishing strategies, building foundational detection playbooks, and defining enforcement frameworks to protect the platform from bad actors. You will conduct deep-dive investigations into complex fraud networks, perform root-cause analysis, and partner with cross-functional Product, Engineering, and Data Science teams to convert adversarial insights into scalable automated defenses. Key responsibilities include prioritizing risks like account takeover, payment fraud, and cloaking while designing operational playbooks. Required skills include proficiency in SQL, Python, or R, experience with big data environments, and knowledge of AI/LLMs. The role focuses on solving technical problems within digital ad ecosystems, ad serving infrastructure, and ad-specific fraud archetypes.

What you'll do

  • Formulate and execute a multi-quarter vision for advertiser fraud detection and enforcement.
  • Prioritize high-impact risks including account takeover, payment fraud, cloaking, and network abuse.
  • Conduct deep-dive investigations into complex fraud networks and sophisticated adversarial tactics.
  • Perform root-cause analysis to map cluster infrastructure and prevent recurring abuse.
  • Translate investigative findings into high-precision detection logic and automated enforcement pipelines.
  • Design and standardize operational playbooks, escalation frameworks, and QA standards.
  • Query petabyte-scale datasets using SQL, Python, or R to construct adversarial network graphs.
  • Partner with ML teams to deploy LLM-based detection classifiers for fraud identification.

What we're looking for

  • 7+ years of experience in threat intelligence, ad tech safety, trust & safety investigations, or platform integrity.
  • Demonstrated 0-to-1 track record of building threat response frameworks in ambiguous environments.
  • Strong proficiency in SQL, Python, or R and big data environments to query petabyte-scale datasets.
  • Experience using AI/LLMs as investigative copilots and partnering with ML teams to deploy LLM-based detection classifiers.
  • Deep functional expertise in digital ad ecosystems, ad serving infrastructure, and ad-specific fraud archetypes.
  • Familiarity with global ad compliance, privacy regulations, and regulatory reporting standards (preferred).

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