OKX is looking to hire an experienced Manager or Senior Manager for their Platform & Infrastructure Audit team to execute critical assurance projects that directly impact the data integrity of their global operations. The role requires assessing the architecture of the data environment and validating the quality and integrity of data as it flows through their systems.
Requirements
- Deep expertise in auditing the integrity and quality of both on-chain and off-chain data, with the ability to review data models, ETL processes, and assess the architecture of a data engineering environment.
- Proficiency in using SQL for data analysis is required. Advanced SQL skills are highly desired for this role.
- Demonstrable experience auditing the design and effectiveness of controls in several of the following areas: Infrastructure & DevOps: Auditing cloud platforms, containerization, and the security of CI/CD pipelines.
- ITGC Technical Validation: Performing hands-on tests to validate that IT controls for access and changes are implemented correctly in core systems.
- AI Model & Platform Auditing: Assessing the security and effectiveness of AI systems and the data they use.
- Fundamental understanding of blockchain technology, including distributed ledgers, consensus mechanisms, and the lifecycle of a cryptocurrency transaction.
Responsibilities
- Serve as the subject matter expert for auditing the integrity, quality, and privacy of both on-chain and off-chain data pipelines, data models, and ETL processes.
- Leverage your deep expertise in data engineering to both lead our data integrity assurance program and contribute to a wide range of audits across infrastructure, DevOps, and AI platforms.
- Contribute to the annual risk-based audit plan by identifying emerging data integrity risks and scoping potential audit projects.
- Develop and maintain expert knowledge of best practices for managing on-chain and off-chain data to ensure audit approaches remain current and effective.
- Review data models, ETL processes, and assess the architecture of a data engineering environment.
- Performing hands-on tests to validate that IT controls for access and changes are implemented correctly in core systems.
- Assessing the security and effectiveness of AI systems and the data they use.
Other
- Prior experience with a crypto exchange or crypto product is highly preferred.
- A proven capacity to analyze novel technical and control environments unique to crypto, identify intricate root causes, and propose effective, context-specific solutions.
- Collaborate effectively with Data Engineering, Analytics, and business stakeholders to communicate audit findings, provide value-add recommendations, and monitor remediation plans.
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
