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Aml Data Scientist Jobs (NOW HIRING)

Arka Infotech Inc

Data Scientist

Boston, MA

Data Scientist Location: Boston, Ma Duration: 12++ Months Position description and responsibilities ... R, Matlab, AML etc.) Bring not just an analytics-orientation, but the ability to use analytics to ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... BSA/AML transaction data. The role requires a strong understanding of statistical modeling and ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... BSA/AML transaction data. The role requires a strong understanding of statistical modeling and ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... BSA/AML transaction data. The role requires a strong understanding of statistical modeling and ...

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

Overview Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

In this role, you will apply data science and machine learning to analyze complex financial ... Hands-on experience analyzing Bank Secrecy Act (BSA) or Anti-Money Laundering (AML) transaction ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

$140 - $190/hr

In this role, you will apply data science and machine learning to analyze complex financial ... Hands‑on experience analyzing Bank Secrecy Act (BSA) or Anti‑Money Laundering (AML) transaction ...

MeridianLink

Data Scientist, AI Data Foundations

$114K - $175K/yr

... KYC/AML data. • Experience with Databricks-native AI/ML tooling: Databricks Vector Search ... Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent ...

East West Bank

Financial Crimes Data Scientist

Pasadena, CA · On-site

$100K - $200K/yr

Overview Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price ... • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • ...

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Aml Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do aml data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for aml data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an AML data scientist?

An AML Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to detect and prevent money laundering activities within financial institutions. They analyze large volumes of transactional and customer data to identify suspicious patterns and support compliance with anti-money laundering (AML) regulations. Their work helps organizations meet regulatory requirements and reduce financial crime risks through advanced analytics and predictive modeling.

What skills and qualifications are needed to thrive as an AML data scientist?

To thrive as an AML Data Scientist, you need a solid background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with anti-money laundering (AML) regulations, SQL, Python, and analytics platforms like SAS or Spark, as well as knowledge of relevant certifications (e.g., CAMS), is essential. Strong problem-solving abilities, analytical thinking, and effective communication skills help you interpret complex data and collaborate with compliance teams. These skills ensure accurate detection of suspicious activities, regulatory compliance, and effective risk management within financial institutions.

How does an AML data scientist typically collaborate with compliance and engineering teams to enhance anti-money laundering efforts?

An AML Data Scientist frequently works alongside compliance officers to understand regulatory requirements and suspicious activity patterns, translating these into data-driven models and analytics. They also partner with engineering teams to integrate machine learning solutions into existing transaction monitoring systems, ensuring data pipelines are robust and scalable. Regular cross-functional meetings and project updates are common, fostering a collaborative environment where technical and regulatory expertise combine to strengthen anti-money laundering strategies.

What is the difference between Aml Data Scientist vs Fraud Data Analyst?

AspectAml Data ScientistFraud Data Analyst
Required CredentialsData science degree, knowledge of AML regulations, data analysis skillsData analysis background, understanding of fraud detection methods
Work EnvironmentFinancial institutions, compliance teams, AML departmentsBanking, insurance, or e-commerce sectors focusing on fraud prevention
Employer & Industry UsageUsed in banking, finance, and AML complianceCommon in banking, retail, and online services for fraud detection

While both roles involve data analysis within financial services, an Aml Data Scientist specializes in anti-money laundering efforts, utilizing advanced analytics and machine learning. A Fraud Data Analyst focuses on detecting and preventing various types of fraud, often using similar data tools but with a different focus area. Both roles require strong analytical skills and familiarity with industry regulations, but their primary objectives and specific expertise differ.

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Aml Data Scientist jobs near you
Infographic showing various Aml Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AML/Sanctions Data Scientist - Associate

Jobtailor

Washington, DC • On-site

$120 - $150/hr

Other

Posted yesterday

New

Job description

  • Utilize analytical techniques to address financial crime issues
  • Engage with clients to foster meaningful professional relationships
  • Apply SQL and Python for data analysis and problem-solving
  • Explore machine learning, NLP, and LLMs in relevant projects
  • Contribute to team efforts while enhancing personal technical skills
  • Adapt to complex situations and develop strategic insights
  • Participate in research to support project objectives
  • Uphold professional standards and ethical guidelines
Requirements
  • Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
  • 1 year of experience in data science/machine learning
  • Interest in financial crime, AML, and fraud analytics
  • Skilled in SQL for complex data queries
  • Advanced Python skills for data manipulation
  • Experience building and deploying machine learning models
  • Understanding of machine learning concepts and algorithms
  • Comfort working with structured and unstructured data
  • Familiarity with agentic AI frameworks
  • Hands-on experience with CI/CD pipelines for data science
  • Proficiency in SQL and Python
  • Basic understanding of machine learning algorithms and evaluation metrics
  • Exposure to scikit-learn, XGBoost, and Hugging Face Transformers
  • Other quantitative fields of study may be considered
  • Ability to travel up to 60%
Core Competencies

Demonstrates expertise in SQL and Python for data analysis, with a strong foundation in machine learning concepts and algorithms. Engages effectively with clients while upholding professional standards in financial crime and fraud analytics.

Highest-signal resume keywords
  • SQL Data Querying
  • Advanced Python Skills
  • Machine Learning Model Deployment
  • Financial Crime Analytics
  • CI/CD Pipelines for Data Science
ATS Optimization KeywordsHard Skills
  • Data Analysis
  • Machine Learning
  • NLP
  • Data Manipulation
  • Statistical Analysis
  • Complex Data Queries
  • Evaluation Metrics
  • Agentic AI Frameworks
  • Structured and Unstructured Data Handling
  • Building Machine Learning Models
Soft Skills
  • Client Engagement
  • Analytical Thinking
  • Adaptability
  • Team Collaboration
  • Strategic Insight Development
Industry Keywords
  • Financial Crime
  • AML
  • Fraud Analytics
  • Data Science
  • Machine Learning Concepts
Tools & Technologies
  • Scikit-learn
  • XGBoost
  • Hugging Face Transformers
  • CI/CD Tools
  • Data Processing Tools
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