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FinTech, Cryptocurrency, Blockchain, Financial Services

Senior Analyst, Compliance Technology

RemoteRemoteFull TimeSenior$167,280–$196,800 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • SQL
  • dbt
  • Airflow
  • Python
  • Generative AI
  • BSA/AML
  • KYC
  • ETL/ELT
  • data pipelines
  • data models

Nice to have

  • equity
  • bonus eligibility
  • benefits

Role summary

Coinbase is seeking a Senior Analyst, Compliance Technology to join their Platform organization. This role focuses on building and operating data and detection capabilities to meet global BSA/AML and regulatory obligations. Responsibilities include developing end-to-end data pipelines, ensuring data quality, partnering with cross-functional teams, and driving improvements in detection signal quality and control effectiveness measurement. The ideal candidate will have a minimum of 5 years of experience in analytics engineering or data engineering, advanced SQL proficiency, experience with ETL/ELT tools like dbt and Airflow, Python skills, and experience with generative AI. Strong communication and project management skills are essential, particularly in regulated environments.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.

What you'll do:

  • Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
  • Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
  • Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
  • Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
  • Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.
  • Required skills and experience:

  • Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
  • Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
  • Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
  • Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
  • Python skills applied to automation, pipeline development, and data analysis.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
  • Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

    Annual base salary range (excluding equity and bonus):$167,280—$196,800 USD
  • Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
  • Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
  • US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
  • Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
  • Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  • Sample Coinbase interview questions

    • 1

      Design a Crypto Exchange

      system designmedium
    • 2

      Design a cryptocurrency dashboard using LLMs.

      system designaverage
    • 3

      Design a system for managing a distributed message broker.

      system designmedium
    • 4

      Design a system for managing a social network's newsfeed.

      system designmedium
    • 5

      How would you manage a large number of users in the database to ensure scalability?

      system designaverage

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