Compliance Engineer
CertiK is a Web3 security platform providing blockchain and smart-contract audits, formal verification, compliance and risk intelligence, monitoring, and validator services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About CertiK
CertiK is a New York-based Web3 security company founded in December 2017 by professors from Yale and Columbia. Its current offerings include smart-contract and blockchain audits, formal verification, penetration testing, DLT security, KYC and regulatory compliance services, SkyInsights risk analytics, Skynet security intelligence, validator operations, AI Auditor, CertiK Hunt, and Skylens.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the first-line compliance owner for AI outputs and related client deliverables. You will analyze and decompose regulatory frameworks and licensing requirements, support licensing and regulatory-readiness projects, review AI outputs for regulatory accuracy and source traceability, produce compliance analyses and reports, build structured AI workflows with Engineering, and escalate high-risk interpretations to senior reviewers or Legal. This role must be performed outside the United States.
Requirements
- 3 or more years of Engineering experience in compliance, regulatory consulting, digital assets, fintech, financial services, compliance audit, or a law firm
- Hands-on experience with at least 1 licensing application, regulatory registration, or end-to-end regulatory-readiness project
- Strong understanding of regulatory analysis, evidence review, and licensing documentation
- Ability to produce clear guidance, mappings, presentations, and client reports
- Strong client communication and cross-functional project-management skills
- Ability to manage urgent and ambiguous requests from client-facing team while maintaining quality
- Strong written and spoken English; professional Chinese proficiency is preferred but not required
- Familiarity with digital-asset regulation, VASP licensing or similar frameworks is preferred
- Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review
Responsibilities
- Analyze and decompose regulatory frameworks and licensing requirements
- Support licensing and regulatory-readiness projects, including scoping, applicability analysis, gap assessment, evidence requests, policy review, application preparation, and remediation tracking
- Conduct first-line review of AI outputs for regulatory accuracy, evidence support, source traceability, and client suitability
- Convert unstructured requests into clear scopes and deliverables, including compliance analyses and review reports
- Support compliance guidance, evidence checklists, submission-material mapping, and licensing deliverables
- Work as/with Engineering to build regulatory mappings, templates, review rules, evaluation cases, and structured AI workflows
- Escalate high-risk regulatory interpretations and final legal or compliance conclusions to senior reviewers or Legal