Overview We’re seeking a Data Analyst, Regulatory Analytics and Reporting to join our team remotely. The role’s #1 goal is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in high-stakes decisions. You’ll operate at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are essential. You will own end-to-end data management—from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams—and automate compliance processes and workflows to boost efficiency and minimize human error.
The opportunity Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers
Automate end-to-end compliance data solutions, governance controls, and automations to boost efficiency and minimize manual intervention
Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics
Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow
Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources
Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution
Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs
Deliver insights that shape compliance direction through clear, data-driven storytelling
Qualifications Skills You Should HODL 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID
Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments
Expert SQL skills including complex joins, CTEs, and analytical functions, with proficiency in Python libraries such as pandas, matplotlib, and plotly
Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration
Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards
Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
Nice to have Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field
Passion for continuous learning and approaching problems with a beginner's mindset
Solid understanding of the cryptocurrency space and how financial markets function
We are an equal opportunity employer and we encourage you to apply without regard to race, color, religion, sex, national origin, age, disability, or any other status protected by law.
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