Blockchain Risk Control Lead

Чем предстоит заниматься: Leveraging LLM techniques to drive the development of next-generation on-chain risk identification and threat intelligence systems, including autonomous agent workflows capable of continuous monitoring, self-triggered investigation, and automated operational responses — reducing manual intervention across the full risk lifecycle from detection to resolution; Leading forensic investigations on real crypto theft, fraud, and market manipulation cases, integrating AI-assisted pattern recognition to accelerate root cause analysis; Researching post-quantum cryptographic algorithms (NIST PQC: ML-KEM, ML-DSA, SLH-DSA, FALCON) and their implications for blockchain security; assessing quantum computing threats to existing cryptographic foundations (ECDSA secp256k1, hash functions) and evaluating migration paths; Partnering with internal teams and external stakeholders for incident response, and engaging with academic institutions to translate frontier research into deployable security tools. Наши пожелания к кандидатам: You have a Master's or PhD's degree in Blockchain security, Computer Science, Data Science, or a related field; You are good at programming languages commonly used in blockchain analytics (e.g., SQL, Python, Javascript); Experience applying machine learning or AI techniques to blockchain data analysis, fraud detection, or threat intelligence; A strong publication record in top-level industry or academic conferences is highly valued; You have experience with blockchain monitoring/forensic tools and analytics platforms; Familiarity with NIST PQC standards (ML-KEM, ML-DSA, SLH-DSA, FALCON) and lattice/hash-based cryptography fundamentals is a plus; Understanding of quantum computing threats to elliptic curve cryptography and implications for key management in Web3; You have security or risk control experience as a plus; You possess effective communication and collaboration abilities; English is essential, and proficiency in Mandarin can be an advantage.