Fraud Analyst UK Remote with some London Travel Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We are looking for a high-ownership Fraud Analyst to step into a pivotal role within Prolific’s world class Integrity Team.

This isn't just a support role; you are the "Human-in-the-Loop" who bridges the gap between our complex fraud models and the real-world experience of our researchers and participants. You’ll be the source of truth for our "golden sets," the expert voice in our Slack channels, and the person who turns manual investigations into product improvements. We need someone who is data-curious, possesses an investigator’s mindset, and is ready to take accountability for the quality of our participant pool.

What you’ll bring to the role This role is a hands on Fraud analyst role for a stand out candidate with strong critical thinking, AI- and data-literacy, and a huge amount of drive. Extreme Ownership: You’re the type of person who sees a "huge hole" and immediately starts filling it. You don't wait for a ticket to tell you something is wrong; you dive in and find the root cause.

The "Investigator" Mindset: You enjoy the "whodunnit" aspect of fraud. You can spot patterns, cross-reference multiple data points, and remain objective when a participant claims the system made a mistake. Aspiring Data Literacy: You don’t need to be a Data Scientist, but you should have a hunger to become data-literate.

You’re comfortable (or willing to learn) diving into databases and collaborating with technical teams to get the answers you need. Practical Communication: You can take a complex technical ban and explain the "why" to a researcher or support agent in a way that is clear, firm, and helpful. Adaptability: The fraud landscape changes every week (especially with LLMs and bots).

You’re excited by the idea of a role that evolves and offers room to grow into more technical or strategic areas as you settle in. Systems Thinking: You understand that a marketplace is an ecosystem. You have the ability to foresee how tightening a rule on the participant side might accidentally impact the researcher experience, or how an engineering change might shift fraud to a different part of the product.

A "Trust but Verify" Mentality: You possess a healthy dose of skepticism. You default to assuming positive intent from our users, but you rely on hard data and undeniable proof before closing a case. Even better if you have Familiarity with AI training data workflows, labeling platforms, or crowdsourcing tools is a strong advantage.

What you’ll be doing in the role Crossfunctional Problem Solving: You’ll work with Data Science, Product, Engineering, Support, and Human Data teams every day. Deep-Dive Investigations: You’ll review data quality reports from researchers, cross-referencing participant IDs against our internal data to validate fraud claims. You’ll recommend a response to the researcher and ensure that bad actors are restricted based on your findings.

Second-Line Expert Support: You’ll act as the escalation point for our Support team. You’ll handle the tricky edge cases, ban appeals, and "system-says-no" moments where human judgment is needed to override or validate the algorithm. Sonar Audits Prevalence Tracking: You will lead our "Sonar" reviews - a regular audit of our participant network.

Your work here directly generates our "bad actor prevalence" and "fraudulent submission" metrics, which are the primary KPIs for how we track our success against fraud. The other side of the coin - you’ll audit our ban decisions to measure fairness and participant experience through overturn rates.