... model performance tracking, drift detection, explainability requirements, and ongoing validation ... BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes * 8+ ...
... model performance tracking, drift detection, explainability requirements, and ongoing validation ... BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes * 8+ ...
... model performance tracking, drift detection, explainability requirements, and ongoing validation ... BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes * 8+ ...
... model performance tracking, drift detection, explainability requirements, and ongoing validation ... BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes * 8+ ...
Aml Model Validation information
See Mequon, WI salary details
$20.06 - $24.54
2% of jobs
$24.54 - $29.03
6% of jobs
$29.03 - $33.51
13% of jobs
$34.91 is the 25th percentile. Wages below this are outliers.
$33.51 - $37.99
13% of jobs
$37.99 - $42.47
11% of jobs
The median wage is $44.71 / hr.
$42.47 - $46.95
12% of jobs
$46.95 - $51.44
9% of jobs
$54.89 is the 75th percentile. Wages above this are outliers.
$51.44 - $55.92
13% of jobs
$55.92 - $60.40
13% of jobs
$60.40 - $64.88
6% of jobs
$64.88 - $69.36
3% of jobs
$20
$46
$69
How much do aml model validation jobs pay per hour?
As of Aug 10, 2026, the average hourly pay for aml model validation in Mequon, WI is $46.17, according to ZipRecruiter salary data. Most workers in this role earn between $35.00 and $56.15 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?
| Aspect | Aml Model Validation | Aml Analyst |
|---|---|---|
| Certifications | AML certifications, model validation training | AML certifications, compliance training |
| Work Environment | Model validation teams, risk management departments | Compliance departments, financial institutions |
| Primary Focus | Validating AML models, ensuring accuracy and effectiveness | Monitoring transactions, investigating suspicious activities |
| Industry Usage | Financial institutions, banks, fintechs | Financial 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.
What cities near Mequon, WI are hiring for Aml Model Validation jobs? Cities near Mequon, WI with the most Aml Model Validation job openings:
Full-time
Posted 5 days ago
Job description
Job Description
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the role:
We're seeking a Senior Manager to own, design, and operationalize the Compliance AI technology and data strategy across the 2nd line FIS Corporate Compliance function. In this role, you will serve as the primary technical liaison to cross-functional FIS AI teams, setting the standards for AI tools and data use within Compliance. You will work with the compliance team to document foundational processes to support AI agents, agentic workflows and other technical solutions that enhance monitoring, operational processes, and reporting capabilities. You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance functions to report on program health and KPIs to Compliance leadership and other key stakeholders, participate in regulatory compliance technology and data strategy, and regularly interact with executives.
About the team:
The team you will be joining plays a critical role in advancing the Compliance function's AI and data capabilities across the FIS enterprise. We are responsible for developing and governing the AI tools, data infrastructure, and testing frameworks that underpin our compliance programs. To be successful, we need your experience navigating a complex, highly regulated financial services environment and your ability to drive cutting-edge AI solutions that enable compliance scalability, accuracy, and resilience. You will be a hands-on leader who produces deliverables day to day while shaping long-term strategy.
What you will be doing:
- Own the end-to-end Compliance AI technology and data strategy, including roadmap development, architecture decisions, and alignment with enterprise AI governance and global regulatory expectations
- Lead engagement with the FIS cross-functional AI teams, serving as the Compliance function's primary point of contact for enterprise AI data & technology initiatives
- Set and enforce standards for AI tools, large language models, and data use within the Compliance department, including responsible AI guardrails
- Design, develop, and deploy AI agents and technical solutions (including agentic workflows, LLM/SLM integrations, and automation pipelines) to enhance compliance monitoring, operations, and reporting
- Build the foundations of the compliance AI monitoring framework, including model performance tracking, drift detection, explainability requirements, and ongoing validation protocols
- Run the compliance data and systems Testing & Monitoring function, including design and execution of test plans, test script automation, data integrity assessments, issue identification, remediation tracking, and reporting to Compliance leadership
- Develop relevant dashboards, KPIs, and data-driven insights that translate compliance risk into quantitative metrics, enabling leadership to assess program maturity, coverage gaps, and risk appetite alignment
What you will need:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics/Statistics, Engineering, or a related discipline
- Preferred: Master's degree, J.D., or the equivalent combination of education, training, or work experience
- 10+ years of experience in financial services compliance, regulatory technology, or risk management, with demonstrated familiarity with BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes
- 8+ years of experience in data management, analytics, data governance, data architecture, AI/ML model development, or AI governance within a regulated environment
- 5+ years of experience leading teams, managing cross-functional technology programs, and building positive business partner relationships with senior stakeholders
- Strong hands-on experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) required; experience with LLM orchestration tools and prompt engineering strongly preferred
- Demonstrated experience building agentic/AI workflows leveraging LLMs and SLMs, including retrieval-augmented generation, automated compliance testing, and intelligent document processing
- Proficiency with compliance monitoring systems, data platforms, and dashboarding tools such as Databricks, Snowflake, Tableau, PowerBI, and related database and cloud technologies preferred; familiarity with model risk management frameworks a plus
- Excellent verbal and written communication skills with the ability to translate complex technical AI concepts into actionable guidance for both business and technical audiences
- Proven ability to influence critical Compliance and technology outcomes in a complex, matrixed organization that requires cross-collaboration with Business, Risk, Product, Legal, Privacy, and Information Security teams
What we offer you:
At FIS, you can grow your career as far as you want to take it. Here's what else we offer:
Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits
An inclusive workspace built on collaboration, flexibility and respect.
A salary and benefits package that reflects your hard work.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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About Worldplay
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Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
Jacksonville, FL, US