xAI· Safety· New York, NY; Palo Alto, CA
Senior Data Analyst- Fraud & AML
Comp$148,000 – $220,000
Classified Tasks (24)
Automate 0%Augment 79%Human-Only 21%
Augment (19)
AI assists, human decides
Architect data-driven transaction monitoring models that support BSA/AML regulatory compliance.
technical
Build transaction monitoring models, rules, and heuristics using Python, SQL, and AI-enabled tooling.
technical
Optimize AML and fraud models, rules, and heuristics to improve detection rates and reduce false positives.
analytical
Build interactive performance dashboards that track key risk, productivity, and capacity metrics.
technical
Maintain interactive performance dashboards and automated reporting solutions for senior leadership and regulators.
operational
Build automated reporting solutions that deliver key risk, productivity, and capacity metrics.
technical
Architect enterprise-wide Transaction Monitoring Coverage Assessment frameworks.
technical
Develop standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring.
analytical
Extract SAR filing metrics with product-level breakdowns.
analytical
Develop jurisdiction- and typology-specific SAR narrative generator tools.
technical
Identify and close monitoring coverage gaps during product launches and feature rollouts.
operational
Support regulatory examinations by preparing analytical documentation.
analytical
Prepare third-party validation materials for regulatory examinations.
administrative
Prepare executive certification packages for regulatory examinations.
administrative
Drive continuous improvement of compliance operations through automation.
operational
Optimize compliance processes to improve operational efficiency.
operational
Apply advanced analytics to enhance compliance operations.
analytical
Support OFAC sanctions, fraud detection, and overall risk prioritization across multiple products and jurisdictions.
analytical
Share knowledge concisely and accurately with teammates.
communication
Human-Only (5)
Requires human judgment
Partner with the Compliance Machine Learning team on model reviews.
communication
Implement Transaction Monitoring Coverage Assessment frameworks across the enterprise.
operational
Lead complex data initiatives.
leadership
Embed data science best practices into product launches and feature rollouts.
operational
Collaborate with Compliance, Engineering, Model Risk, Product, and external regulators to ensure controls are robust, defensible, and scalable.
communication
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 trac