Lead Integrity Analyst

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Extensive experience in threat intelligence, risk modeling, and anomaly detection., Strong understanding of online fraud, impersonation, and AI activity threats., Ability to collaborate effectively across technical and non-technical teams., Knowledge of data protection regulations like GDPR and industry standards..

Key responsibilities:

  • Identify and analyze emerging online threats and fraud vectors.
  • Act as the subject matter expert on online fraud and threat intelligence.
  • Collaborate with internal teams to develop tools and improve policies.
  • Conduct audits and investigations to ensure data integrity and compliance.

Prolific logo
Prolific http://www.prolific.com
51 - 200 Employees
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Job description

Lead Integrity Analyst

Prolific

Prolific is not just another player in the AI space—we are the architects of the human data infrastructure thats reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, its the quality and diversity of humangenerated data that truly differentiates products and models.

The role

The Lead Integrity Analyst is a pivotal individual contributor responsible for proactively safeguarding the continued integrity of Prolifics platform from external threats. In this handson role, youll be identifying, analyzing, and tracking emerging fraud vectors on the internet, anticipating industry trends, and gathering intelligence from varied open and proprietary sources. Youll focus on protecting the authenticity of Prolific’s human data by anticipating emerging threats and developing actionable intelligence to prevent harm before it impacts our data collectors, participants, and our data. You’ll work daily with multiple internal teams on vitally important and deeply crossfunctional goals.

What you’ll bring to the role

  • Deep handson experience crafting and deploying robust threat intelligence models, systems, and controls within dynamic, highgrowth environments.
  • Expertise in leveraging risk modeling, anomaly detection, and behavioral analysis to proactively identify and neutralize emerging threats across various vectors.
  • Demonstrated ability to effectively collaborate and communicate across teams, translating complex intelligence into actionable insights that directly enhance our data quality and protect us from fraud
    • Even better if you have

      • Familiarity with AI training data workflows, labeling platforms, or crowdsourcing tools is a strong advantage.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Detail Oriented
  • Problem Solving
  • Analytical Skills

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