Senior Data Analyst, Compliance

Kraken Digital Asset Exchange

. Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals .

Posted 10/23/2026full-timeRemote • United States, Canada, BrazilSenior💰 $110,400 - $220,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines using Python and SQL, with a strong focus on transaction monitoring and compliance integration. Proficient in statistical analysis and data visualization, ensuring high-quality alert delivery and operational support.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline ManagementStatistical AnalysisCompliance Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFeature EngineeringStatistical MethodsFraud DetectionTransaction Pattern AnalysisMachine Learning Model DevelopmentData Quality InvestigationAlert Threshold TuningHistorical Data EvaluationAutomated Testing

Soft Skills

Independent Problem SolvingTechnical Communication

Tools & Technologies

DbtBI ToolsTableauPower BIHexKafkaKubernetesAirflowS3CI/CD

Industry Keywords

FintechCryptoFinancial ServicesGamblingAMLAnomaly DetectionRisk Applications

Tech Stack

Tools & technologies

AirflowKafkaKubernetesPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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