# Senior Data Analyst- Fraud & AML

**Company:** [xAI](https://hotfix.jobs/companies/xai)
**Location:** New York, NY, Palo Alto, CA
**Role:** Data Analytics
**Salary:** $148k – $220k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, Machine Learning, Data Science, Transaction Monitoring, Aml Models, Fraud Detection, Dashboards, Bsa/Aml, Model Risk Management
**Posted:** 2026-04-13

> Senior Data Analyst architects and optimizes data-driven AML/fraud detection models, builds dashboards and reporting for compliance, and supports regulatory requirements using Python, SQL, and ML. Requires 7+ years experience in financial crime analytics and Master's in quantitative field.

## Job Description

## 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.

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