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. For details on data processing, view our**Recruitment Privacy Notice.*
