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Senior Internal Auditor – Data Analytics

at Kraken Digital Asset Exchange

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About the role

  • Senior Internal Auditor focused on data pipelines and analytics at Kraken. Building automated tests and monitoring tools within a remote-first crypto exchange setting.

Responsibilities

  • Design and build data pipelines that connect to source systems, transform raw data into audit-ready datasets, and enable full-population testing across entities and jurisdictions.
  • Develop automated test scripts, anomaly detection models, and risk scoring mechanisms that replace manual sampling with continuous, data-driven assurance.
  • Validate the completeness and accuracy of data used in analytics — you don’t just visualize data, you first prove it matches the source system.
  • Leverage AI-assisted tools to enhance analytics workflows, from accelerating data extraction and transformation to building smarter detection models.
  • Partner with SOX testers and operational auditors to translate audit objectives into scalable analytical tests.
  • Identify opportunities to leverage emerging technologies, including AI-assisted tools, to enhance coverage and efficiency.
  • Build and maintain dashboards and visualizations that provide Internal Audit and senior leadership with real-time insights into control effectiveness, exception trends, testing coverage, and audit findings.
  • Design continuous monitoring solutions that shift Internal Audit from periodic, point-in-time testing to ongoing surveillance of control health across critical processes.
  • Work with Engineering, Data, and Business Operations teams to identify data sources, understand data lineage, and secure timely access to the data needed for audit analytics.
  • Champion a data-first mindset within Internal Audit. Train auditors on analytics tools, build self-service datasets and documentation, and empower non-technical team members to explore data independently.
  • Communicate complex data analytical findings clearly to both technical and non-technical audiences, translating data into actionable audit conclusions for senior leadership and the Audit Committee.

Requirements

  • 8+ years of experience in data analytics, data science, analytics engineering, or data engineering, with proven application in an audit, risk, or financial services context.
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related quantitative field.
  • Advanced proficiency in SQL and Python. Experience building data visualizations and dashboards using tools such as Tableau, Power BI, or equivalent.
  • Rigorous approach to data quality, including completeness, accuracy, and reconciliation to source systems is second nature, not an afterthought.
  • Comfortable integrating AI-assisted tools into analytics workflows. You don't need to be an AI engineer, but you should know how to use AI to work faster and smarter.
  • Demonstrated ability to translate ambiguous audit or business questions into structured analytical approaches and scalable solutions.
  • Effective communicator who can present complex data findings as clear, actionable conclusions for auditors, senior leadership, and external stakeholders.

Benefits

  • Kraken Culture
  • Remote work options

Job title

Data Analyst

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonSQLTableau

Location requirements

RemoteCanada

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