Data Analyst, Regulatory Analytics and Reporting

Role overview

Turn complex regulatory and compliance data into clear, actionable insights that help the business stay audit-ready, satisfy regulators, and inform senior decision-makers. The role sits at the intersection of data engineering, regulatory reporting, and compliance operations within a fast-paced, high-scrutiny environment. It is a remote position focused on end-to-end data ownership, from pipelines to executive dashboards, in a regulated financial services context.

Responsibilities

- Design and own dashboards, compliance metrics, and regulatory reports that translate data into insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end-to-end compliance data solutions, governance controls, and workflows to reduce manual intervention and minimize error - Analyze large, complex datasets and shape them into scalable, audit-ready data models that support 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, flag remediation issues, and partner with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, regulatory exams, risk assessments, and day-to-day business needs

Requirements

- 5+ years of experience in data analysis and data management within financial services or another regulated industry, with hands-on exposure to compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and a track record of operating effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with Python proficiency using libraries such as pandas, matplotlib, and plotly - Hands-on experience with dbt or comparable modeling tools for organizing high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communication skills with the ability to 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

Benefits and work setup

- Fully remote position - Equal opportunity employer with fair-chance hiring practices - Applications accepted on an ongoing basis unless a specific deadline is stated