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Aml Financial Crime Jobs (NOW HIRING)

Fwainvest

NY · On-site

$80 - $120/hr

## Senior Analyst, AML & Financial Crimes - EDDApplylocations: Saint Petersburg, Florida - United ... financial crime risks. The EDD Senior Analyst is responsible for evaluating complex client ...

CertiK

Director of AML & Virtual Asset Compliance

$150K - $220K/yr

About the Role We are looking for an experienced compliance and financial crime leader to help ... You will serve as a senior subject matter expert on AML and virtual asset compliance, helping the ...

Capitex

AML Analytics Consultant

New York, NY · On-site +1

This is an exciting opportunity for a contractor or independent consultant with hands-on experience in AML analytics, a solid grasp of financial crime compliance, and a deep understanding of data ...

Wise

Regional Head of AML Investigations

Austin, TX · On-site

$1.2K - $1.6K/wk

The Regional Lead of AML Investigations is a leadership role responsible for the strategic ... Proactively identify emerging financial crime trends and implement investigative strategies to ...

CAPITEX

AML Analytics Consultant

New York, NY · Remote

This is an exciting opportunity for a contractor or independent consultant with hands-on experience in AML analytics, a solid grasp of financial crime compliance, and a deep understanding of data ...

Wise

Regional Head of AML Investigations

Austin, TX

$1.2K - $1.6K/wk

The Regional Lead of AML Investigations is a leadership role responsible for the strategic ... Proactively identify emerging financial crime trends and implement investigative strategies to ...

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Aml Financial Crime information

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$25K

$65.2K

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How much do aml financial crime jobs pay per year?

As of Sep 6, 2026, the average yearly pay for aml financial crime in the United States is $65,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an AML Financial Crime?

An AML (Anti-Money Laundering) Financial Crime job involves detecting, preventing, and investigating financial crimes such as money laundering, fraud, and terrorist financing. Professionals in this role analyze transactions, monitor suspicious activities, ensure regulatory compliance, and report findings to authorities. They work closely with compliance teams, law enforcement, and financial institutions to mitigate risk. Strong knowledge of AML regulations, financial laws, and investigative techniques is essential for success in this field.

What are the key skills and qualifications needed to thrive in AML Financial Crime?

To thrive in AML Financial Crime roles, you need a solid understanding of anti-money laundering laws, investigative skills, analytical abilities, and often a degree in finance, law, or criminal justice. Familiarity with transaction monitoring systems, case management tools, and certifications such as CAMS (Certified Anti-Money Laundering Specialist) are highly valued. Attention to detail, strong communication, and critical thinking set standout professionals apart in this field. These competencies are vital for effectively detecting and preventing financial crimes while ensuring compliance with regulatory requirements.

What are some common challenges faced in AML Financial Crime and how are they managed?

Professionals in AML Financial Crime roles often deal with large volumes of data and must identify suspicious activity amidst complex transaction patterns, which can be challenging and requires keen analytical skills. Adapting to ever-evolving regulations and emerging financial crime tactics is another frequent hurdle, necessitating ongoing training and collaboration with compliance, legal, and IT teams. Many organizations provide structured onboarding programs, regular workshops, and access to robust monitoring tools to support staff in managing these challenges. Employers also encourage open communication within teams to share insights and best practices, ensuring a supportive problem-solving environment.

Is AML financial crime a good career path?

A career in AML financial crime involves detecting and preventing money laundering and related financial crimes, often requiring knowledge of compliance regulations and analytical skills. It offers opportunities for advancement in financial institutions, regulatory agencies, and consulting firms, with roles typically requiring certifications like CAMS. The field is considered stable and growing due to increasing regulatory focus on financial crime prevention.
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Aml Financial Crime jobs near you
Infographic showing various Aml Financial Crime job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $65,227 per year, or $31.4 per hour.

Data Engineer with AML & Financial Crime

Ztek Consulting

Manhattan, NY • On-site

$126K - $151K/yr

Other

Posted 4 days ago

Job description

Hi,

I would like to share an excellent opening Full time Data Engineer with AML & Financial Crime do go through the details and kindly send me the updated resume.

Location : NYC, NY (Hybrid)
Type of Hire : Contract
Mode of interview : WebEx / Teams

Basic Qualifications:

  • Minimum 8+ years of experience in Data Engineering, Data Management, Data Architecture, or Data Governance.
  • Minimum 5+ years of experience leading enterprise-scale data initiatives and delivering complex data solutions.
  • Minimum 5+ years of Strong experience within Banking, Financial Services, Capital Markets, or Financial Institutions.
  • Minimum 5+ years of Proven experience supporting Fraud Analytics, Financial Crime, AML, KYC, Risk Management, or Regulatory Reporting functions.
  • Minimum 5+ years of Strong expertise in data architecture, data modeling, and enterprise data management practices.
  • Minimum 5+ years of Extensive hands-on experience developing enterprise data solutions using Python and SQL.
  • Minimum 5+ years of Strong experience with machine learning and AI-enabled data platforms.
  • Minimum 5+ years of Hands-on experience with PyTorch for machine learning model development, feature engineering, training, inference, and deployment support.
  • Minimum 5+ years of Experience building and maintaining data pipelines that support fraud detection, predictive analytics, anomaly detection, and AI-driven decision-making.
  • Minimum 5+ years of Strong understanding of MLOps concepts, model lifecycle management, and integration of machine learning models within enterprise applications.
  • Minimum 5+ years of Experience designing and supporting real-time and near real-time data architecture.
  • Minimum 5+ years of Strong hands-on experience with:
    • Apache Spark
    • Hadoop Ecosystem
    • SQL Server
    • Distributed Data Platforms
    • Enterprise Data Lakes
  • Minimum 5+ years of Experience implementing enterprise data governance practices including:
    • Data Quality
    • Data Cataloging
    • Metadata Management
    • Data Lineage
    • Data Security & Compliance
  • Minimum 5+ years of Experience working in Linux environments and developing Python/Shell scripts.
  • Minimum 5+ years of Experience with Agile development methodologies, CI/CD pipelines, source control systems, and DevOps practices.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to work effectively across geographically distributed teams and business functions.

Required Technology Experience:

  • Python
  • PyTorch
  • Apache Spark
  • Hadoop
  • SQL Server
  • SingleStore (Distributed SQL Database)
  • Kubernetes
  • Python-based Microservices
  • REST APIs
  • Graph APIs
  • Enterprise Data Lakes
  • Data Governance Frameworks
  • Data Quality Platforms
  • Linux
  • Shell Scripting
  • Autosys, Control-M, or equivalent scheduling tools
  • Git, CI/CD, and DevOps Toolchains

Thanks and Regards,


Abrar Shaikh
_________________________________________________
Ztek Consulting Inc.,

Phone: Office: / Cell :

E-mail:

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LinkedIn Profile:

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