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. It has spent 15 years building financial infrastructure platforms to advance an open, global financial system.