Remote Fraud Detection Expert for Enterprise ML & AML

Mercor; San Francisco (CA); Hybrid; GBP 62,000 - 72,000; Part time

Job summary

Mercor is seeking a Fraud Detection Expert on a contract basis for remote work. The role focuses on building enterprise fraud scenarios, supporting large-scale transaction monitoring, and complex regulatory reporting for Fortune 500 clients.

You will work with tools like SAS Fraud Management, Actimize, and Feedzai, applying ML-driven models and rules-based detection while ensuring regulatory compliance and robust case escalation processes.

Qualifications

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

Responsibilities

• Construct enterprise fraud scenarios for large-scale transaction monitoring, multi-stakeholder investigation workflows, and complex regulatory reporting cycles at Fortune 500 institutions.
• Build tasks across payment fraud, account takeover, identity theft, AML, synthetic identity fraud, and merchant/card network fraud.
• Develop fraud operations scenarios using tools such as SAS Fraud Management, Actimize, Feedzai, and enterprise case management/transaction monitoring platforms.
• Apply enterprise fraud detection methodologies, including rules-based and ML-driven detection models, network/link analysis, KYC/AML frameworks, and BSA compliance.

Skills

Fraud detection

AML compliance

Case escalation

Enterprise tooling

Tools

SAS Fraud Management

Actimize

Feedzai

Case management platforms

Job description

Mercor is seeking a Fraud Detection Expert on a contract basis for remote work. The role focuses on building enterprise fraud scenarios, supporting large-scale transaction monitoring, and complex regulatory reporting for Fortune 500 clients.

You will work with tools like SAS Fraud Management, Actimize, and Feedzai, applying ML-driven models and rules-based detection while ensuring regulatory compliance and robust case escalation processes.