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Aml Model Validation Jobs (NOW HIRING)

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 ...

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 ...

Verafin Model Administrator

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 ...

Verafin Model Administrator

Bethesda, MD · On-site

$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 ...

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Aml Model Validation information

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$22

$51

$78

How much do aml model validation jobs pay per hour?

As of Jul 14, 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.

More about Aml Model Validation jobs
What cities are hiring for Aml Model Validation jobs? Cities with the most Aml Model Validation job openings:
What states have the most Aml Model Validation jobs? States with the most job openings for Aml Model Validation jobs include:
Infographic showing various Aml Model Validation job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 50% As Needed, 40% Full Time, 4% Part Time, 1% Contract, and 1% Summer. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
AML Compliance Model Developer - Associate

AML Compliance Model Developer - Associate

Santander

Boston, MA

Full-time

Posted 12 days ago


Job description

AML Compliance Model Developer - AssociateCountry: United States of America

It Starts Here:

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:

  • Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models.

  • Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability.

  • Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies.

  • Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets.

  • Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing.

  • Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness.

  • Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification.

  • Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions.

  • Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations.

  • Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts.

  • Work within Agile delivery methodologies and actively track development/testing activities through Jira.

  • Support production releases, issue resolution, and ongoing model performance monitoring.

  • Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies.

  • Adopt the latest AI-based technologies to improve efficiency.

What You Bring:

  • Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field.

  • 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services.

  • Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing.

  • Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing.

  • Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets.

  • Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management.

  • Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT.

  • Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts.

  • Strong analytical, quantitative, and problem-solving skills.

  • Ability to multitask, manage priorities, and work effectively in fast-paced environments.

  • Strong communication, documentation, and stakeholder management skills.

It Would Be Nice For You To Have:

  • Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms.

  • Experience in developing AI Agents. Good understanding of RAG and MCP's.

  • Experience with Oracle, relational databases, or ETL processes.

  • Exposure to EDD Verifier, ECS, and Temenos (T24) platforms.

  • Exposure to model validation, model governance, or threshold optimization initiatives.

  • Experience working with large-scale financial or transactional datasets.

  • Knowledge of version control tools such as Git.

  • Experience in cloud or distributed data environments is a plus.

  • Advanced Microsoft Office skills including Excel and PowerPoint.

Work Authorization & Sponsorship

  • Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

$90,000.00 USD

Maximum:

$170,000.00 USD

We Value Your Impact:

Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions:

Frequent minimal physical effort such as sitting, standingand walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.