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Aml Technology Jobs (NOW HIRING)

... technology, finance, consulting, and consumer products, Onyx is building the future by making ... Investigate potential fraud, AML, bonus abuse, multi-accounting, chargebacks, and other bad actor ...

Company Description Established in 1991, Collabera has been a leader in IT staffing for over 22 ... AML Investigator/Analyst Location: Brooklyn, OH 44144 Duration: 6+ months (Possibility of Extension ...

As a( Software Engineer Lead within PNC's ALM Technology organization, you will be based in Pittsburgh, PA; Cleveland, OH; Dallas, TX; or Birmingham, AL. As a Software Engineer Lead, you will need ...

Skills Fraud, Aml Top Skills Details Fraud,Aml Additional Skills & Qualifications BSA/AML or Fraud ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Familiarity with KYC/AML technology platforms, identity verification tools, and screening databases. * Detail-oriented, highly organized, and comfortable working with sensitive customer data. * A ...

Skills Fraud, Aml Top Skills Details Fraud,Aml Additional Skills & Qualifications BSA/AML or Fraud ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

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Aml Technology information

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$48

How much do aml technology jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for aml technology in the United States is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $35.82 per hour, depending on experience, location, and employer.

What is the highest paying AML job?

The highest paying AML (Anti-Money Laundering) roles are typically AML Directors or AML Compliance Heads, who oversee AML programs and ensure regulatory compliance. These positions often require extensive experience, certifications like CAMS, and can offer salaries exceeding $150,000 annually, especially in large financial institutions or multinational firms.

What are the key skills and qualifications needed to thrive as an AML Technology professional, and why are they important?

To excel as an AML Technology professional, you need a solid background in anti-money laundering regulations, data analysis, and information technology, often supported by degrees in computer science, finance, or related fields. Familiarity with AML monitoring software (such as Actimize or SAS), data analytics tools, and relevant certifications like CAMS is highly valued. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for this role. These competencies ensure robust compliance systems, accurate detection of suspicious activities, and seamless collaboration with compliance and IT teams.

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

Professionals working in AML Technology often encounter challenges such as integrating new compliance tools with legacy banking systems, keeping up with evolving regulatory requirements, and managing large volumes of transaction data. Addressing these issues typically involves ongoing collaboration with compliance officers, IT teams, and external vendors to ensure systems are up to date and effective. Continuous professional development and staying informed about the latest AML software solutions and regulatory changes can help AML Technology specialists stay ahead of these challenges and contribute to a more robust compliance framework.

What is the difference between Aml Technology vs Data Analyst?

AspectAml TechnologyData Analyst
Required CredentialsCertifications in AML, compliance, or financial regulationsDegree in statistics, mathematics, or related field; often certifications like CAP or Microsoft Excel expertise
Work EnvironmentFinancial institutions, compliance departments, banking sectorVarious industries including finance, marketing, healthcare, with data-focused roles
Employer & Industry UsageUsed primarily in banking, finance, and regulatory agenciesWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, Aml Technology specialists focus on anti-money laundering systems and compliance within financial sectors, requiring AML-specific certifications. Data Analysts analyze data across various industries to support decision-making, often with skills in statistics and data visualization. The roles differ mainly in industry focus and required credentials, though both involve data handling and analysis.

Is AML a good career path?

AML (Anti-Money Laundering) is a specialized field within financial compliance that involves detecting and preventing money laundering activities. Careers in AML often require knowledge of financial regulations, strong analytical skills, and certifications such as CAMS. It can offer stable employment opportunities with growth potential in the financial services industry.

Does AML pay well?

In the context of AML (Anti-Money Laundering) compliance roles, salaries are generally competitive within the financial and regulatory sectors. Entry-level positions may start around $50,000 to $70,000 annually, while experienced professionals with certifications like CAMS can earn over $100,000 per year. Compensation depends on experience, location, and the specific employer.

What is AML technology?

AML technology refers to software and systems used to detect and prevent money laundering activities within financial institutions. It typically involves data analysis, transaction monitoring, and compliance tools to identify suspicious behavior and ensure adherence to regulations. Professionals working with AML technology often need knowledge of financial regulations and proficiency with specialized software tools.
More about Aml Technology jobs
What cities are hiring for Aml Technology jobs? Cities with the most Aml Technology job openings:
What states have the most Aml Technology jobs? States with the most job openings for Aml Technology jobs include:
What job categories do people searching Aml Technology jobs look for? The top searched job categories for Aml Technology jobs are:
Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Truist rating

8.1

Company rating: 8.1 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

47th of 144 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Deliver technically advanced solutions in support of Truist's Anti-Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions. Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.

  • Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models aligned with financial crime detection objectives.

  • Provide expertise in model development, integration, and deployment - including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.

  • Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.

  • Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring.

  • Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.

  • Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.

  • Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments.

  • Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions.

  • Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems.

  • Act as a mentor and resource for teammates, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • Minimum of 3 years of experience in information security, systems analysis, or related technical field.

  • Foundational knowledge of data security principles, system architecture, and security controls.

  • Experience or exposure to system monitoring, data analysis, or risk identification activities.

Preferred Qualifications:

  • Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.

  • Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).

  • Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).

  • Experience supporting or contributing to model governance, validation, or regulatory processes.

  • Strong foundation in data structures, algorithms, and software engineering principles.

  • Familiarity with open-source ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn).

  • Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.

  • Experience with data platforms, SQL, and data modeling.

  • Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019