Data Analyst, Regulatory Analytics And Reporting

October 19, 2026

Remote

Senior

London

Keep in mind

Citizenship requirement applies

Also worth knowing

Crypto or web3 project

Description

Kraken, one of the world's longest-standing crypto platforms, is hiring a Data Analyst for Regulatory Analytics and Reporting on a remote basis. The role turns complex compliance and regulatory data into actionable insights for regulators, senior leadership and cross-functional partners. The analyst owns end-to-end data management: datasets, pipelines, dashboards and compliance automation in a high-scrutiny, audit-ready environment.

Responsibilities

Own the design of dashboards, compliance metrics, and regulatory reports for stakeholders and regional compliance officers
Automate end-to-end compliance-related data solutions, governance controls, and workflows
Turn large complex datasets into scalable, audit-ready data models for 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 high-quality data pipelines
Coordinate client data quality monitoring by identifying issues and flagging remediations
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

Requirements

5+ years of experience in data analysis and data management within financial services or a regulated industry
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 in high-scrutiny, audit-ready environments
Expert SQL skills including complex joins, CTEs, and analytical functions
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
Experience setting up and managing data pipelines with strong understanding of data workflow orchestration
Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset
Strong communicator who can simplify complex data ideas for technical and non-technical audiences
Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field is a plus
Solid understanding of the cryptocurrency space and how financial markets function is a plus