Remote Fraud Detection Lead — Contract

Mercor; San Francisco (CA); Hybrid; AUD 118,000 - 137,000; Part time

Job summary

Mercor is seeking a Fraud Detection Expert for a remote contract role. You will design enterprise fraud scenarios for large-scale transaction monitoring and multi-stakeholder investigations at Fortune 500–level institutions.

Responsibilities include addressing payment fraud, account takeover, identity theft, AML, synthetic identity, and merchant/card network fraud, using SAS Fraud Management, Actimize, and Feedzai, applying rules-based and ML-driven detection models.

Qualifications

• 5+ years in fraud detection or AML at a Fortune 500 bank or financial institution.
• Direct ownership of large-scale fraud detection programs.
• Fluency in enterprise fraud tooling and methodologies.
• Understanding of Fortune 500 regulatory reporting and case escalation.
• Prior rubric or fraud-investigation training curriculum authorship.

Responsibilities

• Construct enterprise fraud scenarios for large-scale monitoring and multi-stakeholder investigations.
• Cover payment fraud, account takeover, identity theft, AML, synthetic identity, and card network fraud.
• Develop fraud operations scenarios using SAS Fraud Management, Actimize, Feedzai, and related platforms.
• Apply enterprise fraud detection methodologies, including rules-based and ML-driven models, network analysis, KYC/AML, and BSA.
• Author rubrics distinguishing authentic enterprise fraud judgment from generic recall.

Skills

Fraud detection

AML compliance

Financial crimes investigation

KYC/AML frameworks

Tools

SAS Fraud Management

Actimize

Feedzai

Job description

Mercor is seeking a Fraud Detection Expert for a remote contract role. You will design enterprise fraud scenarios for large-scale transaction monitoring and multi-stakeholder investigations at Fortune 500–level institutions.

Responsibilities include addressing payment fraud, account takeover, identity theft, AML, synthetic identity, and merchant/card network fraud, using SAS Fraud Management, Actimize, and Feedzai, applying rules-based and ML-driven detection models.