Remote Fraud Detection Expert – Enterprise Finance

Mercor; Sydney; Remote; AUD 118,000 - 137,000; Part time

Job summary

Mercor is seeking a Fraud Detection Expert for a remote contract role. You will build enterprise fraud scenarios for large-scale transaction monitoring and regulatory reporting for Fortune 500 clients, applying ML-driven detection and rules-based approaches.

Experience with SAS Fraud Management, Actimize, and Feedzai is required, along with KYC/AML knowledge and a strong track record in financial crimes investigations.

Qualifications

• 5+ years in fraud detection or AML at a Fortune 500 bank, payments company, or financial institution.
• Direct ownership of F500-scale fraud detection programs or monitoring systems.
• Fluency with enterprise fraud tooling and regulatory reporting.

Responsibilities

• Construct enterprise fraud scenarios for large-scale transaction monitoring and regulatory reporting cycles at Fortune 500 institutions.
• Build tasks across F500 payment fraud, account takeover, identity theft, AML, synthetic identity fraud, and merchant/card network fraud.
• Develop fraud operations scenarios using SAS Fraud Management, Actimize, Feedzai, and enterprise case management/monitoring platforms.
• Apply enterprise fraud detection methodologies, including rules-based and ML-driven detection models, network/link analysis, and KYC/AML frameworks.
• Author rubrics distinguishing authentic enterprise fraud investigation judgment from generic recall.

Skills

Fraud detection

AML compliance

Case escalation

Tools

SAS Fraud Management

Actimize

Feedzai

Job description

Mercor is seeking a Fraud Detection Expert for a remote contract role. You will build enterprise fraud scenarios for large-scale transaction monitoring and regulatory reporting for Fortune 500 clients, applying ML-driven detection and rules-based approaches.

Experience with SAS Fraud Management, Actimize, and Feedzai is required, along with KYC/AML knowledge and a strong track record in financial crimes investigations.