📋 Description

• Leveraging LLM techniques to drive the development of next-generation on-chain risk identification
• Leading forensic investigations on real crypto theft, fraud, and market manipulation cases
• Researching post-quantum cryptographic algorithms (NIST PQC: ML-KEM, ML-DSA, SLH-DSA, FALCON) and
• Partnering with internal teams and external stakeholders for incident response, and engaging with

🎯 Requirements

• You have a Master’s or PhD in Blockchain security, Computer Science, Data Science, or a related
• You are good at programming languages commonly used in blockchain analytics (e.g., SQL, Python
• Experience applying machine learning or AI techniques to blockchain data analysis, fraud detection
• 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

🎁 Benefits

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Team-building activities, workshops, and events designed to promote collaboration
• Global Collaboration: Diverse, international team from around the world.
• Career Advancement: Growth opportunities within a rapidly expanding global company.
• Internal Mobility: Long-term development with internal job opportunities.