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Aml Model Validation Jobs (NOW HIRING)

EagleBank

US-MD-Bethesda

Bethesda, MD · Hybrid

$80K - $129K/yr

Ensure Verafin system configurations align with BSA/AML regulatory requirements including the Bank Secrecy Act, USA PATRIOT Act, and FinCEN guidance * Participate in model validation activities and ...

Flagstar Bank

BSA/AML Modeling Analyst

New York, NY · On-site

Execute scheduled model monitoring runs for CRR, TM, EDD, and Sanctions models - generating ... Support Actimize data feed validation - ensuring transaction, customer, and account data flowing ...

Flagstar Bank

BSA/AML Modeling Analyst

New York, NY · On-site

Execute scheduled model monitoring runs for CRR, TM, EDD, and Sanctions models - generating ... Support Actimize data feed validation - ensuring transaction, customer, and account data flowing ...

Flagstar Bank

BSA/AML Modeling Analyst

Troy, NY · On-site

Execute scheduled model monitoring runs for CRR, TM, EDD, and Sanctions models - generating ... Support Actimize data feed validation - ensuring transaction, customer, and account data flowing ...

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All JobsAml Model Validation Jobs

Aml Model Validation information

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$78

How much do aml model validation jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for aml model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AML Model Validation Analyst, and why are they important?

To excel in AML Model Validation, you typically need a strong background in quantitative analysis, statistics, and experience with anti-money laundering regulations, often supported by a degree in finance, mathematics, or a related field. Familiarity with statistical software (such as SAS, R, or Python), model validation frameworks, and knowledge of regulatory guidelines like those from the OCC or FFIEC are important. Strong analytical thinking, attention to detail, and clear communication skills set outstanding professionals apart in this role. These competencies are crucial for ensuring AML models are accurate, compliant, and effective in detecting suspicious financial activities.

What is AML model validation?

AML model validation is the process of evaluating and testing anti-money laundering (AML) models to ensure they are accurate, effective, and compliant with regulatory standards. This involves examining the model’s design, data inputs, performance metrics, and overall effectiveness in detecting suspicious activities. Regular validation helps to identify weaknesses, reduce false positives or negatives, and ensure that the model adapts to evolving risk scenarios. Financial institutions are required by regulators to validate their AML models regularly to mitigate risks and maintain robust compliance programs.

What are some common challenges faced by professionals in AML Model Validation roles, and how can they be addressed?

Professionals in AML Model Validation often encounter challenges such as ensuring models remain effective against evolving financial crime techniques and managing the complexity of regulatory expectations. They must regularly update and back-test models to address changes in transaction patterns and compliance requirements, which can be resource-intensive. Collaboration with data scientists, risk management teams, and compliance officers is crucial for interpreting results and implementing improvements. Staying current with regulatory guidance and industry best practices helps address these challenges and supports career advancement in this dynamic field.

What is the difference between Aml Model Validation vs Aml Analyst?

AspectAml Model ValidationAml Analyst
CertificationsAML certifications, model validation trainingAML certifications, compliance training
Work EnvironmentModel validation teams, risk management departmentsCompliance departments, financial institutions
Primary FocusValidating AML models, ensuring accuracy and effectivenessMonitoring transactions, investigating suspicious activities
Industry UsageFinancial institutions, banks, fintechsFinancial institutions, banks, regulatory agencies

While both roles operate within AML frameworks, Aml Model Validation focuses on testing and validating AML models to ensure they work effectively, whereas Aml Analysts handle daily transaction monitoring and investigations. The validation role emphasizes model accuracy and compliance, while analysts focus on detecting and reporting suspicious activities.

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Aml Model Validation jobs near you
Infographic showing various Aml Model Validation job openings in the United States as of June 2026, with employment types broken down into 6% Full Time, 82% Part Time, 6% Temporary, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Associate Director - AML Analytics (Consulting)

Capitex

New York, NY • On-site

Full-time

Posted 15 days ago

Job description

Associate Director, AML Analytics
Financial Crime Compliance Consulting
Overview
We are seeking an experienced Associate Director to lead client-facing engagements within our Financial Crime Compliance (FCC) Analytics practice. This role sits at the intersection of AML subject matter expertise and quantitative model risk - managing complex, multi-workstream engagements across model validation, system tuning, and programme advisory.
Key Responsibilities
  • Lead multiple simultaneous complex engagements from inception through to delivery
  • Serve as subject matter expert across AML / BSA / OFAC
  • Manage project teams of 2-20 people, guiding and mentoring managers and analysts
  • Engage with senior client stakeholders across financial institutions
  • Contribute to business development, including sales calls and articulating the practice's value proposition
Engagement Types
  • Model validation of Transaction Monitoring (TM), Sanctions Screening, and Customer Risk Rating (CRR) models
  • Tuning and optimisation of TM, Sanctions Screening, and CRR models
  • System implementations across TM, Sanctions, and CRR platforms
  • Data reconciliation, data lineage, and data quality testing
  • AML programme reviews - including policies and procedures, gap analysis, and risk assessments
Skills & Capabilities
  • Strong proficiency in SQL and Excel; Python or R advantageous
  • Ability to extract, analyse, and interpret data from AML systems to identify patterns and drive conclusions
  • Experienced in data reconciliation (source-to-target comparison)
  • Excellent project management, communication, and critical thinking skills
  • Demonstrated ability to identify organic growth opportunities within client engagements
  • Proven ability to lead and develop junior team members
Qualifications
  • Minimum 10 years of consulting experience
  • Minimum 7 years in financial crime - AML, fraud, sanctions, anti-bribery/corruption
  • 5+ years managing teams
  • CAMS highly preferred
  • MBA preferred but not required
Equal Opportunities
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status, in accordance with applicable law.

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