Senior Fraud Data Analyst, SFS Financial Crimes , NY

Remote New York, NY, US

Posted Date: 01/23/26

Remote New York, NY, US Req : R0005784 Posted Date: 01/23/26 Posted yesterday

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more.

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Square Financial Services, Inc. (SFS) is Block’s bank. We opened in March 2021 and provide lending and FDIC‑insured deposit products to individuals and small businesses on a nationwide basis.

The Square Financial Services (SFS) Financial Crimes team is looking for someone to join the Bank as a Senior Fraud Data Analyst. You will create the analysis that backs and informs essential decisions, insight, and oversight across the risk and compliance organization, with a focus on the Fraud program. You will build and automate reporting for critical Fraud processes, improving Fraud insights for SFS products and its overall Fraud risk landscape.

While data analytics will be your primary function, you will have the chance to broaden your knowledge by performing additional risk and compliance responsibilities. This experience will deepen your understanding of these functions, developing additional skills to benefit your professional development. You will report to the Financial Crimes Compliance Data lead.

• Build and automate reporting for critical Fraud processes, including reporting to facilitate oversight of Fraud functions performed on the Bank’s behalf.
• Work with engineering teams to understand the intricacies of legacy data
• Facilitate internal Fraud data requests (develop signals to measure Fraud risk and trends, assure quality and data integrity, provide analysis on operational metrics)
• Maintain current infrastructure and seek improvements, where necessary
• Assess and help plan goals, policies, and projects for the Financial Crimes Compliance Data Team
• Provide regular reporting and performance monitoring to Risk and Compliance Leads and other senior Bank management
• Provide reporting for audits, monitoring, and regulatory examinations
• Perform additional tasks to support Risk and Compliance functions based on business need

• At least 8 years experience in an analytics role
• Fraud subject matter expertise, including experience supporting a Fraud team
• Expert in SQL (experience with Snowflake a plus)
• Machine learning, statistical modeling or data mining expertise
• B.A. or B.S. in quantitative field (i.e. Mathematics, Statistics, Economics, Computer Science, Engineering Sciences)
• Experience building cross‑functional relationships to drive outcomes
• Experience speaking to data and reporting insights to a non‑technical audience
• Experience in project management
• [Bonus] Experience in Looker, Airflow, Python, Git, or dbt
• [Bonus] Consumer Financial Product/Payments/Fintech Experience
• [Bonus] CFE or similar certifications

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
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