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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 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.
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, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
Become a Krakenite and build the future of crypto!
Payward’s Risk & Audit function operates as an Integrated Assurance organization, bringing together Internal Audit and Enterprise Risk Management under a unified risk oversight strategy. The function spans SOX Compliance, Enterprise Risk Management, and Internal Audit across multiple regulated entities and jurisdictions. The Internal Audit partners with co-sourced providers, maintains direct reporting lines to the Global and Local Audit Committee Chairs, and is building a technology-forward assurance capability at the forefront of crypto and financial innovation.
This is a build role, not a traditional audit role. You will build the data pipelines, automated tests, and monitoring tools that enable Internal Audit to test full populations and detect exceptions that sampling systematically misses. You will also help shape how the function leverages AI — integrating AI-assisted tools into analytics workflows, building solutions that pair data analytics with emerging AI capabilities, and helping define what AI-enabled auditing looks like in practice.
You’ll be doing it at a crypto exchange — where the transaction volumes are high, the data is complex, the entities span multiple jurisdictions, and the control environment is evolving in real time. If you want to build an audit analytics capability from the ground up where the data is genuinely interesting, this is it.
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.
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.
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.
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.
Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable 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 knowledgable about crypto!
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as 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 that’s 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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