Senior Data Analyst- Fraud & AML at xAI

On-site - New York, NY, Palo Alto, CA

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The Senior Data Analyst‑Fraud & AML role at xAI focuses on modernizing and strengthening financial crime detection capabilities. The analyst will architect, build, and optimize transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions to support BSA/AML regulatory compliance, including SAR filing, customer identification, and enhanced due diligence. This high‑impact, cross‑functional position requires collaboration with Compliance, Engineering, Model Risk, Product, and external regulators to ensure robust and scalable controls.

Salary

USD 148,000 - 220,000

Requirements

Skills

  • 7+ years of hands‑on data science / advanced analytics experience in financial services
  • 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
  • Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles
  • Certified Anti‑Money Laundering Specialist (CAMS) or equivalent compliance certification

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.

Technologies

PythonSQLAI‑enabled toolingPerformance dashboardsAutomated reporting solutionsSAR automation toolsRPA solutions

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