This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AML/Sanctions Model Validation Consultant based in the United States.
This role offers an opportunity to support critical financial crime risk initiatives through expert model validation and governance activities.
The AML/Sanctions Model Validation Consultant will independently assess complex risk models, screening systems, and machine learning solutions used to identify suspicious activity.
You will play a key role in evaluating model effectiveness, data quality, regulatory alignment, and opportunities for improvement.
Working on a remote project basis, you will collaborate with stakeholders to strengthen compliance frameworks and risk management practices.
This position is ideal for an experienced financial crime professional with strong analytical skills and deep expertise in AML and sanctions technologies.
You will contribute to improving the reliability, transparency, and effectiveness of models that support regulatory compliance and operational decision-making.
Accountabilities:
The AML/Sanctions Model Validation Consultant will be responsible for independently reviewing and challenging financial crime risk models while providing actionable insights to enhance model performance, governance, and compliance. The role requires strong technical expertise, attention to detail, and the ability to communicate complex findings clearly.
- Perform independent validation of AML transaction monitoring, sanctions screening, and financial crime risk models.
- Evaluate model conceptual soundness, data quality, performance metrics, and overall effectiveness.
- Review machine learning models used for alert generation, anomaly detection, customer risk scoring, sanctions screening, and false-positive reduction.
- Assess transaction monitoring and sanctions screening methodologies, including tuning approaches, threshold calibration, and screening outcomes.
- Analyze model limitations, identify potential risks, and provide recommendations for strengthening controls and governance frameworks.
- Prepare detailed validation reports documenting findings, testing results, and improvement opportunities.
- Support regulatory compliance efforts by ensuring models align with industry expectations and risk management standards.
Requirements:
The ideal candidate is an experienced AML and sanctions professional with a strong background in model validation, financial crime risk management, and analytical review. This role requires a combination of technical expertise, regulatory knowledge, and strong communication skills.
- Bachelor’s degree or higher in accounting, finance, business, or a related discipline.
- 5+ years of experience in AML and sanctions model validation or related financial crime risk functions.
- Strong understanding of AML transaction monitoring systems, sanctions screening processes, and financial crime risk models.
- Experience evaluating machine learning models, model performance, data quality, and validation methodologies.
- Ability to analyze complex information, identify weaknesses, and provide practical recommendations.
- Strong written and verbal communication skills, with the ability to produce clear validation documentation.
- Detail-oriented mindset with strong problem-solving and analytical capabilities.
- Must reside in the continental United States.
- Must be legally authorized to work in the United States; employment eligibility verification will be required, and visa sponsorship is not available.
Benefits:
- Competitive hourly compensation range of $90–$110 USD/hour, depending on experience and qualifications.
- Fully remote contract opportunity available to candidates located in the United States.
- Initial one-month project engagement with potential extension opportunities.
- Opportunity to contribute to high-impact financial crime compliance and risk management initiatives.
- Flexible remote work environment designed for experienced professionals.
- Exposure to complex AML, sanctions, and regulatory technology challenges.
- Potential access to benefits such as healthcare plans, retirement contributions, paid time off, and parental leave depending on eligibility and engagement terms.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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