Senior Fraud Detection Architect

Mercor

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Job summary

Mercor is seeking senior fraud detection professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise fraud and financial crimes contexts. The work spans large-scale transaction monitoring, multi-stakeholder investigations, and regulatory reporting cycles.

You will draft reference outputs and rubrics that reflect how senior practitioners think. Ideal candidates bring 5+ years in fraud detection, AML, and experience with large financial institutions and enterprise

Qualifications

  • 5+ years in fraud detection or AML within a Fortune 500 bank, payments company, or financial institution.
  • Experience designing enterprise fraud scenarios and reference outputs.
  • Familiarity with regulatory reporting and investigation workflows.
  • Ability to author rubrics and assessment materials for advanced practitioners.

Responsibilities

  • Construct enterprise fraud scenarios spanning large-scale monitoring and complex regulatory reporting cycles (SARs, CTRs) at Fortune 500 institutions.
  • Build tasks across fraud areas including payment fraud, account takeover, AML, synthetic identity, and merchant/card network fraud.
  • Develop fraud operations scenarios involving tools like SAS Fraud Management, Actimize, and Feedzai.
  • Apply detection methodologies (rules-based and ML-driven) and produce reference reports and risk narratives.
  • Author rubrics distinguishing authentic investigative judgement from recall.

Skills

Fraud detection
AML compliance
Financial crimes investigation
Fortune 500 experience

Tools

SAS Fraud Management
Actimize
Feedzai

Job description

Mercor is seeking senior fraud detection professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise fraud and financial crimes contexts. The work spans large-scale transaction monitoring, multi-stakeholder investigations, and regulatory reporting cycles.

You will draft reference outputs and rubrics that reflect how senior practitioners think. Ideal candidates bring 5+ years in fraud detection, AML, and experience with large financial institutions and enterprise

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