Sr. Data Analyst, Compliance

About the role

As a Senior Data Analyst at Kraken, you will play a crucial role in refining transaction monitoring processes and ensuring compliance through data insights. Your work will involve collaborating with compliance teams to develop detection logic and manage data pipelines, contributing to the overall integrity of the platform.

Kraken, a well-established name in the crypto industry, offers a remote work environment that fosters collaboration and innovation. You will be part of a team that values analytical rigor and aims to advance an open financial system. Success in this role means effectively translating compliance requirements into actionable data strategies.

Skills that matter here

• Python: This role requires strong Python skills for developing and maintaining data pipelines.
• SQL: SQL is essential for preparing transaction data and conducting analysis.
• dbt: Experience with dbt is necessary for modeling and organizing data for reporting.
• data visualization: You will use BI tools to create dashboards for executive-level insights.
• BI tools: Proficiency in BI tools is needed to present data findings effectively.

Who this role suits

• A candidate with over 7 years of experience in data analysis within fast-paced environments.
• Someone who thrives in collaborative settings and can communicate technical concepts to non-technical stakeholders.
• A professional with a strong statistical foundation and familiarity with machine learning concepts.
• An individual who values diversity and inclusion and seeks opportunities for professional growth.

From the employer

What You Will Do

• Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic.
• Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication.
• Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows.
• Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes.
• Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time.
• Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results.
• Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems.
• Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.

What You Bring

• 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment.
• Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems.
• Strong Python and SQL skills, with experience building and supporting production data or analytical systems.
• 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 workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD.
• Solid statistical foundation; ML exposure is a strong plus.
• Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards.
• Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders.
• A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics.

What We Offer

• A commitment to diversity and inclusion in the workplace.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• Flexible working arrangements.