110K–221K USD / year
Sr. Data Analyst, Compliance
DataRemote — United States, Canada, Brazil
Published on 2026-10-23
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Own compliance data workflows, from transaction data pipelines and detection logic to evaluations and operational monitoring. Partner with Compliance to improve deposit and withdrawal monitoring, assess detection quality, and turn analysis into actionable recommendations.
About the company
Kraken is a leading cryptocurrency exchange that provides a platform for buying, selling, and trading a diverse range of digital assets. The company focuses on compliance, security, and innovative financial solutions to serve both individual and institutional clients.
The team
Data Analytics
Stack
PythonSQLdbtAirflowS3AthenaTrinoKafka
What you'll do
- Define and refine transaction-monitoring rules for deposits and withdrawals with Compliance.
- Translate compliance requirements into production detection logic, including thresholds, customer segments, date windows, and deduplication.
- Build and maintain Python and SQL pipelines for data preparation, feature engineering, and detection workflows.
- Evaluate detection coverage, alert quality, threshold sensitivity, and proposed changes.
- Run reproducible historical evaluations that account for limited labels, class imbalance, and behavior shifts.
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows.
- Conduct validated historical backfills and maintain reliable alert delivery and compliance integrations.
What we're looking for
- 7+ years of relevant data analysis, data science, or data management experience in fintech, crypto, financial services, or gambling.
- Strong Python and SQL skills and experience supporting production data or analytical systems.
- Hands-on experience with dbt or similar data-modeling tools and workflow orchestration.
- Knowledge of version control, automated testing, code review, and CI/CD.
- Strong statistical foundation and experience applying analysis to practical business problems.
- Ability to investigate production issues and explain technical findings and uncertainty to non-technical stakeholders.
- Degree in an analytically rigorous field and fluent English.
- Based in the US, Canada, or Brazil.
Nice to have
- Fraud detection, AML, anomaly detection, or other risk experience.
- Experience with Athena, Trino, Kafka, Kubernetes, Airflow, dbt, or S3.
- Transaction pattern analysis, customer segmentation, and detection threshold tuning.
- Experience productionizing ML models, tracking experiments, and monitoring performance.
- Experience evaluating detection with sparse or delayed investigation feedback.
- Experience with explainability, auditability, and change control in regulated environments.
Benefits
- Bonus program
- Equity program
- Wellness allowance
- Medical, dental, vision, and 401(k) benefits for US employees