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Senior Data Analyst, Compliance

🕒 October 23

⏰ Full Time

🟠 Senior

📉 Data Analyst

Where this job comes from

Posted on Kraken Digital Asset Exchange's careers page, not through a job board

First seen by Remote Rocketship October 23

Still open on Kraken Digital Asset Exchange's site. Checked 44 minutes ago.

Logo of Kraken Digital Asset Exchange

Kraken Digital Asset Exchange

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals • Partner with Compliance to study transaction patterns and refine detection logic • Translate compliance requirements into production detection logic • Maintain 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 changing customer behavior • Own testing, deployment, scheduling, monitoring, and operational support for detection workflows • Investigate data quality issues, pipeline failures, and unexpected detection-result changes • Execute historical backfills with validation and traceability • Maintain 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 in a fast-paced, high-growth environment • 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 and 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 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 a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics • Based in Canada, the US, or Brazil • Fluent in English • Belief in Kraken's Tentaclements values

🏖️ Benefits

• Remote work arrangement • Opportunity to work with a globally accessible open-finance and crypto infrastructure platform • Work with a global, diverse team • Job-related skills or work-style assessments applied consistently across candidates • Equal opportunity employment

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