Fraud Detection Expert - Fully Remote | Upto $70/hr

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Fraud Detection Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote
Role 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 , anti-money laundering (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 .

- Author rubrics that distinguish authentic enterprise fraud investigation judgment from generic textbook or certification-exam-level recall.

Qualifications

Must-Have

- 5+ years in fraud detection, financial crimes investigation, or AML compliance at a Fortune 500 bank or financial institution.

- Direct ownership of F500-scale fraud detection programs or transaction monitoring systems.

- Fluency in enterprise fraud detection tooling and methodologies.

- Understanding of F500 regulatory reporting, law enforcement coordination, and case escalation.

Preferred
- Prior rubric, fraud-investigation training curriculum, or case documentation authorship.

Application Process (Takes 20–30 mins to complete)

- Upload resume

- AI interview based on your resume

- Submit form

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas