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What you bring

• 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment
• Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems
• Strong Python and SQL skills, with experience building and supporting production data or analytical systems
• Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
• Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD
• Solid statistical foundation; ML exposure is a strong plus
• Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards
• Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
• You believe wholeheartedly 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
• Based in Canada, the US, or Brazil, and fluent in English

Nice to haves

• 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

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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