Bybit — one of the world's leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across 200+ countries.
Responsibilities
Leveraging LLM techniques to drive development of next-generation on-chain risk identification and threat intelligence systems, including autonomous agent workflows for continuous monitoring, self-triggered investigation, and automated operational responses
Leading forensic investigations on real crypto theft, fraud, and market manipulation cases, integrating AI-assisted pattern recognition
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 ECDSA secp256k1 and hash functions
Partnering with internal teams and external stakeholders for incident response, engaging with academic institutions
Requirements
Master's or PhD in Blockchain security, Computer Science, Data Science, or related field
Proficiency in SQL, Python, JavaScript
Experience applying ML/AI to blockchain data analysis, fraud detection, or threat intelligence
Strong publication record valued
Experience with blockchain monitoring/forensic tools and analytics platforms
Familiarity with NIST PQC standards and lattice/hash-based cryptography is a plus
Understanding of quantum computing threats to elliptic curve cryptography