Financial Crime & AML Compliance Expert

SaidGig; New York (NY); Teletrabalho; USD 69 000 - 124 000; Tempo integral

Resumo da oferta

SaidGig is seeking a seasoned financial-crime AML expert for a remote contract role focused on training AI systems to detect fraud, scams, money laundering, and abusive activity. You will design scenario libraries and detection frameworks using real-world knowledge in fintech, banking, and digital payments.

The role emphasizes operational excellence, clear communication, and cross-functional collaboration to turn insights into practical prevention strategies, with flexible remote engagement and

Qualificações

• 5+ years of hands-on experience in fraud investigations, AML compliance, payments risk management, or related financial-crime field.
• Expertise analyzing and detecting AML risks, fraud, scams, phishing, money laundering, synthetic identity fraud, or marketplace abuse.
• Experience in fintech, banking, cryptocurrency, digital payments, or similar environments.
• Demonstrated operational excellence and thought leadership in financial-crime prevention.
• Advanced degree or professional certification (CAMS/CFE/CFCS) or comparable credentials in financial crime/compliance.
• Excellent written and verbal communication skills to explain complex scenarios to diverse audiences.
• Experience developing training materials, scenario libraries, or detection rulebooks preferred.
• Strong curiosity and analytical rigor to adapt controls to evolving typologies.

Responsabilidades

• Design and document a comprehensive library of fraud, scam, money laundering, and abuse scenarios for financial platforms.
• Define social-engineering warning signs and financial-crime typologies, including phishing and synthetic identity fraud.
• Create escalation grading scales and frameworks for risk assessment of financial-crime events.
• Develop benchmark criteria and detection frameworks to evaluate AI model performance on fraud patterns.
• Review and improve guidance, workflows, and operating practices for financial crime and AML compliance.
• Provide detailed, domain-accurate feedback on project deliverables.
• Collaborate with cross-functional teams to translate insights into actionable detection strategies.

Conhecimentos

Fraud investigations

AML compliance

Payments risk management

Communication

Training material development

Analytical thinking

Formação académica

Advanced degree or CAMS/CFE/CFCS certification

Descrição da oferta de emprego

Role Overview

Apply your financial crime and AML expertise to help train next-generation AI systems for advanced fraud detection and prevention. This remote contract role focuses on designing and improving practical financial-crime detection frameworks using real-world knowledge of fraud, scams, money laundering, and abuse. Prior AI experience is not required.

Key Responsibilities

• Design and document a comprehensive library of fraud, scam, money laundering, and abuse scenarios for financial platforms.
• Define social-engineering warning signs and financial-crime typologies, including phishing, synthetic identity fraud, and marketplace abuse.
• Create escalation grading scales and frameworks for assessing the severity and risk of financial-crime events.
• Develop benchmark criteria and detection frameworks to evaluate whether AI models can identify realistic fraud patterns and suspicious activity.
• Review and improve written guidance, workflows, and operating practices for financial crime and AML compliance.
• Provide detailed, domain-accurate feedback on project deliverables.
• Collaborate with cross-functional teams to turn subject-matter insights into actionable detection and prevention strategies.

Qualifications

• At least 5 years of recent, hands-on experience in fraud investigations, AML compliance, payments risk management, or a related financial-crime field.
• Expertise analyzing and detecting AML risks, fraud, scams, phishing, money laundering, synthetic identity fraud, and marketplace abuse.
• Experience in fintech, banking, cryptocurrency, digital payments, or similar environments.
• A demonstrated record of operational excellence and thought leadership in financial-crime prevention.
• An advanced degree, professional certification such as CAMS, CFE, or CFCS, or comparable operational credentials in financial crime, AML/CTF, or compliance.
• Excellent written and verbal communication skills, with the ability to explain complex scenarios and frameworks to technical and non-technical audiences.
• Experience developing training materials, scenario libraries, or detection rulebooks is strongly preferred.
• Strong curiosity and analytical rigor to evaluate evolving financial-crime typologies and adapt controls accordingly.

Work Terms

Remote contract engagement. Compensation$50 to $90 per hour.