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Aml Model Validation Jobs (NOW HIRING)

Alliant Credit Union

Lead Model Validation

Chicago, IL · Hybrid

$95K - $163K/yr

Validate a broad range of models used across credit risk, treasury management (ALM), finance ... AML, fraud, pricing, and CECL models. * Apply sound analytical judgment to evaluate model input ...

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

Validate a broad range of models used across credit risk, treasury management (ALM), finance ... AML, fraud, pricing, and CECL models. * Apply sound analytical judgment to evaluate model input ...

US Bank

Quantitative Modeler Manager - AML

Knoxville, TN

$52.25 - $67.75/hr

The ideal candidate for this position will have prior experience developing BSA/AML monitoring ... S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address ...

US Bank

Quantitative Modeler Manager - AML

Minneapolis, MN

$57.25 - $74/hr

The ideal candidate for this position will have prior experience developing BSA/AML monitoring ... S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address ...

US Bank

Quantitative Modeler Manager - AML

Columbus, OH

$53 - $68.50/hr

The ideal candidate for this position will have prior experience developing BSA/AML monitoring ... S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address ...

U.S. Bank

Quantitative Modeler Manager - AML

Charlotte, NC · On-site

$53.50 - $69.25/hr

The ideal candidate for this position will have prior experience developing BSA/AML monitoring ... S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address ...

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All JobsAml Model Validation Jobs

Aml Model Validation information

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How much do aml model validation jobs pay per hour?

As of Aug 4, 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 July 2026, with employment types broken down into 3% Locum Tenens, 2% Internship, 54% As Needed, 36% Full Time, 4% Part Time, and 1% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Model Validation Specialist

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • On-site

$95K - $140K/yr

Other

Re-posted 28 days ago

Job description

 SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The anticipated salary range for this role is between $95,000.00 and $140,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description

The Associate, Model Risk & Validation (MRV) will support the independent validation and ongoing assessment of financial crime, risk, and other quantitative and non-quantitative models across the Firm. The role is responsible for executing validation testing, assessing model design and performance, reviewing model governance and documentation, and ensuring compliance with regulatory expectations and internal Model Risk Management (MRM) standards. The successful candidate will work closely with model developers, business stakeholders, and risk partners to identify model risks, evaluate model changes, and contribute to a strong model risk management framework. Exposure to Financial Crime Compliance domains, including AML, Fraud, Sanctions Screening, or Trade Compliance, is desirable; however, candidates with strong quantitative, analytical, and model risk management experience from other domains are encouraged to apply.

Role Objectives: Delivery
  • Conduct independent validations of AML, Fraud, Trade Compliance, Artificial Intelligence/Machine Learning (AI/ML), and other quantitative and non-quantitative models, assessing conceptual soundness, data quality, methodology, implementation, controls, and ongoing performance.
  • Execute validation testing, including data analysis, independent replication, benchmarking, sensitivity analysis, back-testing, performance monitoring, and outcome assessment to evaluate model effectiveness and fitness for purpose.
  • Review model development documentation, governance frameworks, policies, procedures, and controls to ensure compliance with regulatory expectations and internal Model Risk Management (MRM) standards.
  • Assess model changes, including recalibration, tuning, segmentation, parameter updates, and design enhancements resulting from evolving business activities, market conditions, customer behavior, or risk appetite.
  • Identify model limitations, risks, and control weaknesses; communicate findings to model owners and senior stakeholders; and provide practical, risk-based recommendations for remediation.
  • Prepare clear, concise, and regulatory-ready validation reports, workpapers, and supporting documentation, and track remediation activities through closure.
  • Develop and enhance validation methodologies, testing frameworks, documentation templates, and automation solutions to improve consistency, efficiency, and coverage of validation activities.
  • Support internal audits, regulatory examinations, and governance reviews by providing validation evidence, analysis, and subject matter expertise.
  • Maintain current knowledge of AML, fraud, sanctions, trade compliance, AI/ML governance, and emerging regulatory and industry best practices.
Qualifications and Skills
  • Master's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related quantitative discipline, with 3-5 years of experience in Model Risk Management, Model Validation, AML/Fraud analytics, Financial Crime Compliance, or risk consulting within the financial services industry.
  • Strong understanding of model validation principles, statistical and data analytics techniques, and regulatory expectations related to AML, Fraud, Trade Compliance, AI/ML, and other risk models.
  • Proficiency in SQL and Python/R for data extraction, analysis, testing, and automation, with experience working with large datasets and exposure to cloud-based analytics environments (e.g., Azure).
  • Familiarity with financial crime and risk management platforms such as Actimize, Fircosoft, world check, or similar systems is preferred .
  • Excellent analytical, problem-solving, and communication skills, with the ability to synthesize complex data, prepare clear and concise documentation, and effectively communicate technical concepts and validation results to both technical and non-technical stakeholders, including senior management, and auditors

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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