Sr. Data Analyst, Compliance

The role

You will own end-to-end data management, including building datasets, pipelines, and dashboards for the Compliance team. You will own the logic and rule-setting for transaction monitoring across deposits and withdrawals.

What you will do

• Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals
• Translate compliance requirements into production detection logic
• Develop and maintain Python and SQL pipelines for transaction data preparation and detection workflows
• Evaluate detection rules and analytical models
• Design reproducible evaluations on historical data
• Own testing, deployment, scheduling, monitoring, and operational support for detection workflows
• Execute historical backfills with clear validation and traceability
• Experiment, test hypotheses, and translate insights into action

Required qualifications

• 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry
• Experience working with compliance, fraud, funding, finance, and customer support teams
• Strong Python and SQL skills
• Experience building and supporting production data or analytical systems
• Hands-on experience using dbt or similar tooling
• Experience setting up and managing data pipelines with understanding of workflow orchestration
• Strong software engineering practices including version control, automated testing, code review, and CI/CD
• Solid statistical foundation
• Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar)
• Ability to investigate production issues independently and communicate technical findings to non-technical stakeholders
• Believe in the values outlined in Kraken's Tentaclements document
• A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics

Nice to have

• ML exposure
• Fraud detection, AML, anomaly detection, or other risk applications
• Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack
• Transaction pattern analysis, customer segmentation, and detection threshold tuning
• Developing or productionising machine learning models, including experiment tracking and performance monitoring
• Working with sparse or delayed feedback from investigations to evaluate and improve detection
• Explainability, auditability, and change control in regulated environments

Before you apply

• Applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance or graduation
• We may ask candidates to complete job-related skills or work-style assessments

About the company

Payward is the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks. Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions.