Design scalable compliance dashboards, analytics, and metrics
Architect automated pipelines and audit-ready regulatory reports
Translate plain-language business or regulatory requests into precise data models
Develop and maintain high-quality data sources in partnership with Data and Engineering teams
Build key datasets and data pipelines using Python and ETL frameworks (e.g., Airflow)
Design and automate reports, dashboards, and compliance metrics ensuring consistency, accuracy, and actionable insights
Work closely with Regional Compliance Officers to deliver audit-ready regulatory reports
Build client data dashboards for Executive Leadership, providing insights on trends, KPIs, demographics, and growth opportunities
Monitor and improve client data quality by identifying issues, driving remediations, and coordinating timely resolutions
Automate compliance governance controls and monitoring to ensure processes operate as expected
Provide cross-functional support during peak periods (requirements definition, backlog management, QA triage)
Develop ad-hoc compliance solutions to enable Product Development and Engineering teams to focus on long-term improvements
Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs
Manage data requests, assist with regulatory reporting, support automation and peer code reviews, and leverage AI to create scalable frameworks
Requirements
3+ years industry experience in data analysis and data management
2+ years experience in Compliance and Regulatory Reporting areas
Advanced knowledge of SQL, scripting languages and database concepts with a record of performing data analysis using a scripting language
Expert in Python for data analysis, automation, and building scalable applications, with high proficiency in libraries, frameworks, and scripting for complex workflows
Hands-on experience with, AWS, Airflow, Cursor, and BI tools such as QuickSight or Superset
Experience using compliance and investigation tools (e.g., Hummingbird, Moody’s RDC, Chainalysis, Elliptic) to support regulatory reporting, monitoring, and risk analysis.
Ability to synthesize ambiguous regulatory requests into technical requirements
Familiarity with data warehouse development and best practices
Ability to clearly present reports, dashboards and complex results to Executives
You believe wholeheartedly in the cypherpunk, libertarian values outlined in Kraken’s Tentaclements document.
Must be based in India and fluent in English
Nice to Haves: Degree in Mathematics, Statistics, Finance, Information Systems, Computer Science, Business Analytics, Data Science, or a related technical field.
Nice to Haves: Knowledge of AML/FCC, Sanctions, KYC, MiCA, MiFID, or Data Governance regulations.
Nice to Haves: Passionate about crypto with deep knowledge of emerging trends and tokens beyond blue chips