Senior Internal Auditor – Data Analytics

Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. **What makes us different?** Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the [Kraken Culture](https://www.kraken.com/culture) page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account [here](https://support.kraken.com/hc/en-us/articles/226090548-How-to-create-an-account-on-Kraken). As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to [industry-leading security](https://blog.kraken.com/crypto-education/security-at-kraken), [crypto education](https://blog.kraken.com/category/crypto-education), and [world-class client support](https://blog.kraken.com/crypto-education/support-at-kraken) through our products like [Kraken Pro](https://pro.kraken.com/), [Desktop](https://www.kraken.com/desktop), [Wallet](https://www.kraken.com/wallet), and [Kraken Futures](https://www.kraken.com/features/futures). **Become a Krakenite and build the future of crypto!**

### Responsibilities span the following areas: #### Analytics engineering & automation - 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. #### Visualization & continuous monitoring - 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. #### Stakeholder engagement & analytics enablement - 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.

### Skills you should HODL - 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.

### Nice to haves - Professional certifications: CIA, CISA, CPA, CAP (Certified Analytics Professional), or cloud data certifications (AWS, GCP). - Experience building continuous auditing or continuous monitoring programs, including cloud data infrastructure such as Snowflake, AWS, or GCP. - Experience using AI/ML tools for anomaly detection, data extraction, or workflow automation in an audit or analytics context. - Familiarity with crypto, fintech, payments, or digital asset environments.

Kraken (legally Payward, Inc.) is a US-based cryptocurrency exchange that facilitates trading of cryptocurrencies, stocks, futures, and ETFs in most US states. It serves over 10 million clients worldwide with $207 billion in quarterly trading volume and has expanded to tokenized equities for non-US customers.