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Block, Inc.

Emerging Risk Data Analyst Bay Area, CA, US

Block, Inc., California, Missouri, United States, 65018

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Emerging Risk Data Analyst Overview The Emerging Risk team acts as an aggregator of intelligence, analysis, leads, fraud typologies, and risk assessments that can be used to inform decisions across Compliance. We are looking for a Senior Emerging Risk Data Analyst to drive our data analysis strategy and provide data insights to the team. You will work closely with other Emerging Risk analysts and cross-functional partners to fulfill data requests, identify key data in new and complex datasets, and build a framework to automate dashboards, metrics, and reporting.

You Will

Develop and execute data strategies to identify financial crime typologies or support new product rollouts

Write SQL or Python queries to extract and analyze data for investigative reviews

Build and maintain dashboards, metrics, and reporting to track key risks

Synthesize complex analyses into clear narratives, written reports, and presentations for peers, cross-functional partners, and senior management

Present findings and recommendations to leadership, ensuring data-driven insights inform decision-making

Document work and build a knowledge base for the team

Partner closely with Compliance data and analytics teams to ensure alignment

You Have

3+ years of experience writing complex queries in SQL, MySQL, Python, or similar tools

3+ years of experience with Looker, Tableau, or Excel (ability to build dashboards and visualizations)

Experience building databases and ETLs

Certified Fraud Examiner (CFE) or ACAMS certification

Direct experience working in BSA/AML, fraud, or compliance environments, with an understanding of regulatory requirements

Ability to communicate technical findings in clear written reports and executive-level presentations

Experience summarizing data-driven insights for senior stakeholders and influencing decisions

Even Better

Bachelor's Degree in Finance, Accounting, Mathematics, Economics, Computer Science, Information Management, or Statistics

Experience with Python or R

Background in BSA/AML, fraud, or compliance

Experience filing Suspicious Activity Reports

Equal Opportunity Statement Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. 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 needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Benefits

Healthcare coverage (Medical, Vision and Dental insurance)

Health Savings Account and Flexible Spending Account

Retirement Plans including company match

Employee Stock Purchase Program

Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance

Paid parental and caregiving leave

Paid time off (including 12 paid holidays)

Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)

Learning and Development resources

Paid Life insurance, AD&D, and disability benefits

Pay and Location Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A $135,200 — $202,800 USD

Zone B $125,800 — $188,600 USD

Zone C $119,000 — $178,400 USD

Zone D $108,200 — $162,200 USD

Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact Contact us with hiring practice or data usage questions.

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