Senior Data Analyst, Compliance
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Job Description
Senior Data Analyst improving transaction monitoring and compliance intelligence at Kraken, a global crypto and open-finance platform. Building Python, SQL, and dashboarding systems.
Responsibilities:
- Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals
- Partner with Compliance to study patterns and refine detection logic
- Translate compliance requirements into production detection logic
- Preserve 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 proposed-change impact
- Design reproducible historical-data evaluations accounting for limited labels, class imbalance, and customer-behaviour shifts
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows
- Investigate data quality issues, pipeline failures, and unexpected changes in detection results
- Execute historical backfills with clear validation and traceability
- Maintain reliable downstream alert delivery and integrations with compliance systems
- Experiment, test hypotheses, translate insights into action, and apply software engineering best practices to pipelines and dashboards
Requirements:
- 7+ years of experience in data analysis, data science, and data management within fintech, crypto, financial services, or gambling
- Experience working with compliance, fraud, funding, finance, and customer support teams
- Experience analyzing large datasets, engineering features, and applying statistical methods
- Strong Python and SQL skills
- Experience building and supporting production data or analytical systems
- Hands-on experience with dbt or similar tooling
- Experience setting up and managing data pipelines
- Understanding of workflow orchestration
- Software engineering practices including version control, automated testing, code review, and CI/CD
- Solid statistical foundation
- Proficiency with BI and data visualization tools such as Hex, Tableau, Power BI, or similar
- Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
- Degree in analytics, software engineering, statistics, economics, or another field emphasizing analytical rigor
- Based in Canada, the US, or Brazil
- Fluent in English
- Experience with fraud detection, AML, anomaly detection, or other risk applications is a nice-to-have
- Experience with Athena, Trino, Kafka, Kubernetes, Airflow, dbt, and S3 is a nice-to-have
- Experience with transaction pattern analysis, customer segmentation, and detection threshold tuning is a nice-to-have
- Experience developing or productionising machine learning models is a nice-to-have
- Experience evaluating detection with sparse or delayed investigation feedback is a nice-to-have
- Experience with explainability, auditability, and change control in regulated environments is a nice-to-have
Benefits:
- Bonus program
- Equity program
- Wellness allowance
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Job-related skills or work-style assessments as part of the hiring process
- Equal opportunity employment
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