Senior Data Analyst- Fraud & AML

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.
• 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.