Senior Analytics Engineer – Finance

• Build trusted financial data products for Kraken’s Finance Data Engineering & Analytics team
• Use automation and AI-assisted tools to reduce manual work and improve the financial close process
• Partner with Finance to understand workflows, identify pain points and translate business needs into data and automation solutions
• Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups
• Implement controls, monitoring and exception handling
• Build dashboards and visualizations for performance analysis, issue investigation and decision-making
• Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering
• Address root causes and communicate progress
• Build scalable pipelines to collect, transform and curate data from internal platforms and external systems
• Support the design and rollout of a trusted finance data lake with definitions, ownership and quality checks
• Improve data timeliness and enable near-real-time insights where valuable
• Evaluate technologies, including AI-assisted automation, and prototype production-supportable solutions

• 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams
• Strong SQL and Python skills, including writing, debugging and maintaining production code
• Solid experience with Git, merge requests, and code reviews
• Strong software engineering practices, including testing and documentation
• Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools
• Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close
• Experience investigating discrepancies and validating outputs with accounting stakeholders
• Track record of owning pipelines end to end and improving reliability as requirements and systems evolve
• Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes
• Experience supporting recurring financial close activities
• Excellent communication skills and ability to collaborate across Engineering and Finance
• Nice to have: experience with cryptocurrency transaction data and digital-asset activity in financial records and reconciliations
• Nice to have: experience processing large volumes of financial transactions using Spark or PySpark

• Opportunity to work remotely
• Opportunity to work with a global team
• Job-related skills or work-style assessments as part of the hiring process
• Equal opportunity employment
• Kraken product dogfooding access/expectation after joining