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Remote Aml Transaction Monitoring Jobs in Madison, AL

Senior Automation Engineer

Huntsville, AL · Remote

$106K - $139K/yr

Location: 100% Remote. The Senior Automation Engineer is responsible for designing, developing, and ... Platform Reliability · Monitor, maintain, and continuously improve automation framework ...

New

Remote {#LI-Remote} This role is contributing to the Country Trade Compliance group in the United ... Monitor compliance performance through Annual Trade Reviews, Global Trade Risk Assessments, metrics ...

Remote Aml Transaction Monitoring information

See Madison, AL salary details

$15.7K

$69K

$117.4K

How much do remote aml transaction monitoring jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote aml transaction monitoring in Madison, AL is $68,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a remote AML transaction monitoring analyst?

A Remote AML (Anti-Money Laundering) Transaction Monitoring Analyst is a financial compliance professional who works remotely to detect and investigate suspicious financial activities that could indicate money laundering or other financial crimes. They use specialized software to analyze transaction data, flag unusual patterns, and ensure that institutions comply with regulations. Their work helps protect organizations from financial crime and regulatory penalties by identifying and reporting potentially illicit activities in real-time. Remote analysts can work from anywhere, collaborating with compliance teams through digital platforms.

What are the key skills and qualifications needed to thrive as a remote AML transaction monitoring analyst?

To thrive as a Remote AML Transaction Monitoring Analyst, you need a strong understanding of anti-money laundering regulations, financial crime detection, and risk assessment, often supported by a degree in finance, accounting, or a related field. Familiarity with transaction monitoring software such as Actimize, FICO, or SAS, and certifications like CAMS (Certified Anti-Money Laundering Specialist) are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for identifying suspicious activity and reporting findings. These skills ensure accurate detection of financial crimes, compliance with regulations, and protection of the institution's integrity.

What are some common challenges faced by professionals in remote AML transaction monitoring roles, and how can they be addressed?

Professionals in remote AML Transaction Monitoring often face challenges such as maintaining effective communication with team members, staying updated on evolving compliance regulations, and managing large volumes of transaction data across multiple systems. To address these challenges, it's important to leverage secure collaboration tools, participate in regular virtual team meetings, and engage in ongoing training to keep up-to-date with industry standards. Additionally, developing strong organizational and analytical skills can help remote analysts efficiently prioritize and investigate suspicious activities while ensuring accuracy and compliance.

What is the difference between Remote Aml Transaction Monitoring vs Remote Compliance Analyst?

AspectRemote Aml Transaction MonitoringRemote Compliance Analyst
CertificationsAML certifications, such as CAMSCompliance certifications, such as CCEP or CFE
Work EnvironmentMonitoring transactions, analyzing suspicious activityReviewing policies, ensuring regulatory adherence
Industry UsageFinancial institutions, banks, fintechsFinancial services, banking, insurance

Remote Aml Transaction Monitoring and Remote Compliance Analyst roles both require knowledge of regulations and certifications. However, transaction monitoring focuses on analyzing transactions for suspicious activity, while compliance analysts oversee broader regulatory adherence. Both roles are vital in financial compliance teams and often overlap in skills and industry settings.

What are popular job titles related to Remote Aml Transaction Monitoring jobs in Madison, AL?

For Remote Aml Transaction Monitoring jobs in Madison, AL, the most frequently searched job titles are:

Infographic showing various Remote Aml Transaction Monitoring job openings in Madison, AL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $68,969 per year, or $33.2 per hour.

Senior Automation Engineer

Vervic Inc.

Huntsville, AL • Remote

$106K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Role: Senior Automation Engineer.
Location: 100% Remote.
 
 Job Description:
The Senior Automation Engineer is responsible for designing, developing, and maintaining the automation framework that powers the Synthetic Data & Automation Platform supporting the Community Care Network Next Generation (CCN NG) program. This role develops the automated integration validation capabilities that enable continuous testing, rapid regression analysis, and reliable verification of healthcare transaction processing across the CCN NG product portfolio.
 
Working as a member of the Synthetic Data & Automation Engineering Team, the Senior Automation Engineer builds scalable automation frameworks, API validation services, continuous integration pipelines, and reusable execution components that transform synthetic healthcare transaction data into repeatable integration validation. The role emphasizes engineering automation, platform reliability, and continuous delivery over traditional test script development.
 
Reporting to the Automation & Synthetic Data Architect, the Senior Automation Engineer collaborates closely with the Healthcare Interoperability Engineer, Senior Synthetic Data Engineer, Automation Intelligence Engineer, and Integration Validation Engineer to establish a robust automation platform supporting engineering, integration, and release readiness activities.
 
Description Mission:
Design, develop, and continuously evolve the automation capabilities of the CCN NG Synthetic Data & Automation Platform by delivering scalable frameworks, automated integration validation, and continuous engineering pipelines that improve software quality, accelerate delivery, and reduce operational risk.
EOE
 
Job Responsibilities:
 
Automation Platform Engineering
·    Design, develop, and maintain the automation framework supporting end-to-end integration validation.
·    Build reusable automation components capable of executing healthcare transaction workflows across multiple environments.
·    Develop scalable automation services supporting continuous integration, regression validation, and release readiness.
·    Ensure automation solutions are modular, maintainable, extensible, and reusable across the CCN NG product portfolio.
Integration Validation Automation
 
 
·    Develop automated validation for healthcare transaction lifecycles, including eligibility, claims, payment, and related interoperability workflows.
·    Build API validation services supporting system-to-system integration testing.
·    Automate verification of transaction processing, business rules, and expected outcomes using synthetic healthcare transaction data.
·    Develop automated regression suites that rapidly identify functional or integration defects following system changes.
Engineering Pipeline Integration
 
 
·    Integrate automation capabilities into CI/CD and DevSecOps pipelines.
·    Support continuous validation throughout the software delivery lifecycle.
·    Develop automated reporting, execution metrics, and engineering dashboards.
·    Improve engineering efficiency through automation of repetitive validation activities.
Engineering Collaboration
 
 
·    Partner with the Senior Synthetic Data Engineer to integrate synthetic datasets into automated validation workflows.
·    Collaborate with the Automation Intelligence Engineer to operationalize intelligent engineering workflows within the automation platform.
·    Work closely with the Healthcare Interoperability Engineer to ensure validation logic accurately reflects healthcare business rules and interoperability standards.
·    Support the Integration Validation Engineer by providing reliable automation capabilities that facilitate independent validation and release certification.
Platform Reliability
 
 
·    Monitor, maintain, and continuously improve automation framework performance and reliability.
·    Troubleshoot automation failures and identify opportunities for optimization.
·    Promote engineering best practices supporting maintainability, scalability, and operational excellence.
·    Contribute to architecture discussions regarding automation strategy and platform evolution.
Continuous Improvement
 
 
·    Evaluate emerging automation technologies and engineering tools.
·    Recommend enhancements that improve execution speed, reliability, and maintainability.
·    Develop reusable engineering assets that can be leveraged across multiple development and integration teams.
Required Skills:
 
 
·    Experience designing and developing enterprise automation frameworks.
·    Strong programming experience using Python, Java, C#, or comparable modern programming languages.
·    Experience developing automated API validation and systems integration solutions.
·    Experience implementing CI/CD pipelines and DevSecOps practices.
·    Strong understanding of distributed systems, software architecture, and engineering automation.
·    Excellent analytical, troubleshooting, and collaboration skills.
Desired Qualifications:
 
 
·    Experience supporting healthcare payer, provider, or federal healthcare systems.
·    Familiarity with ANSI X12 healthcare transactions and healthcare interoperability standards.
·    Experience building automated integration validation frameworks.
·    Experience working with containerized applications and cloud-native technologies.
·    Experience using AI-assisted software development tools such as Cursor, GitHub Copilot, or similar engineering platforms.
·    Experience with Infrastructure as Code and automated deployment practices.
·    Experience working within Agile software development environments.
Desired Technical Skills
 
 
·    Python, Java, C#, or comparable programming languages
·    API development and validation
·    RESTful services
·    Integration automation frameworks
·    CI/CD platforms
·    DevSecOps practices
·    Git-based source control
·    Containerization (Docker, Kubernetes)
·    Cloud-native application development
·    Test automation frameworks
·    Agile software engineering
Education and Experience:
 
 
·    Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Data Engineering, Information Systems, or a related technical discipline, or equivalent professional experience.
·    Ten (10) or more years of experience, including seven (7) or more years of experience in software engineering, automation engineering, systems integration, or application development.
Success Measures (First 12-18 Months)
The Senior Automation Engineer will be expected to:
 
 
·    Design and deliver the automation framework supporting the CCN NG Synthetic Data & Automation Platform.
·    Implement automated integration validation covering prioritized healthcare transaction workflows using synthetic healthcare transaction data.
·    Integrate automation capabilities into CI/CD pipelines, enabling continuous validation and rapid regression analysis.
·    Develop reusable automation services and engineering components that improve platform scalability, maintainability, and operational efficiency.
·    Reduce manual engineering effort through reliable automation while improving software quality and release confidence.
·    Collaborate across the Synthetic Data & Automation Engineering Team to ensure automation capabilities seamlessly support synthetic data generation, intelligent engineering workflows, and independent integration validation.
·    Continuously enhance the automation platform through innovation, standardization, and adoption of modern engineering practices.

This is a remote position.