xai
Senior Data Analyst- Fraud & AML
At a Glance
- Location
- New York, NY; Palo Alto, CA
- Experience
- 7+ years
- Compensation
- ). COMPENSATION AND BENEFITS: $148,000- $220,000 USD Base salary is just one p
- Posted
- 2026-04-13T09:53:12-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- Government
- Legal
- Regulatory
Requirements
of hands-on data science / advanced analytics experience in financial services, with at least
4 years focused on fraud and financial crime compliance
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).
, 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.
For details on data processing, view our
Compensation & 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.
Responsibilities
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.