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Aml Data Scientist Jobs (NOW HIRING)

xAI

Senior Data Analyst- Fraud & AML

New York, NY · On-site

$148K - $220K/yr

We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role ... Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI ...

xAI

Senior Data Analyst- Fraud & AML

Palo Alto, CA · On-site

$148K - $220K/yr

We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role ... Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI ...

Td

AML Business Data Manager

Jacksonville, FL · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Td

AML Business Data Manager

Wilmington, DE · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Td

AML Business Data Manager

Washington, DC · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Td

AML Business Data Manager

Portland, ME · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Td

AML Business Data Manager

Greenville, SC · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

Td

AML Business Data Manager

Fort Lauderdale, FL · On-site

$96K - $155K/yr

AML Business Data Manager will lead a team of business data analysts that is responsible for ... Helps the organization understand the principles and the math behind the scientist process to drive ...

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All JobsAml Data Scientist Jobs

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 Jul 5, 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 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.

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 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 are the key skills and qualifications needed to thrive as an AML Data Scientist, and why are they important?

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.
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What cities are hiring for Aml Data Scientist jobs? Cities with the most Aml Data Scientist job openings:
What states have the most Aml Data Scientist jobs? States with the most job openings for Aml Data Scientist jobs include:
What job categories do people searching Aml Data Scientist jobs look for? The top searched job categories for Aml Data Scientist jobs are:
Aml Data Scientist jobs near you
Infographic showing various Aml Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 4% Full Time, and 90% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Analyst- Fraud & AML

xAI

New York, NY • On-site

$148K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

ABOUT xAI
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions.
This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable.
RESPONSIBILITIES:
  • Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives.
  • Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators.
  • Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring.
  • Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools.
  • Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps.
  • Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages.
  • Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.
BASIC QUALIFICATIONS:
  • 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance.
  • Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field.
  • Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred).
  • Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles.
  • Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators.
  • Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.
PREFERRED SKILLS AND EXPERIENCE:
  • Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners.
  • Background in building internal case management systems, SAR automation tools, or RPA solutions.
  • Familiarity with AML detection platforms.
  • Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency).
COMPENSATION AND BENEFITS:
$148,000- $220,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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