Blockchain Risk Control Lead

About the role

In this role, you will leverage advanced techniques like LLM to identify risks on the blockchain and lead investigations into crypto-related incidents such as theft and fraud. Your work will also involve researching post-quantum cryptographic algorithms to bolster security measures.

You will collaborate with various internal teams and external partners to ensure effective incident response. Success in this position means developing innovative systems for risk detection and contributing to the overall security framework of Bybit.

Skills that matter here

• LLM techniques: You will use LLM techniques to develop systems for on-chain risk identification.
• blockchain security: Your focus will be on enhancing blockchain security through research and investigations.
• data analysis: Data analysis skills will be crucial for assessing risks and analyzing incidents.
• machine learning: You will apply machine learning techniques to improve risk detection capabilities.
• AI: AI will be integrated into your work for advanced threat intelligence.
• SQL: Proficiency in SQL will be essential for blockchain analytics tasks.

Who this role suits

• You have an advanced degree in a relevant field and a strong publication record.
• You are adept at programming and have experience with blockchain analytics tools.
• You possess effective communication skills and can collaborate with diverse teams.
• You are knowledgeable about quantum computing threats and cryptographic standards.

From the employer

Responsibilities

• Leveraging LLM techniques to drive the development of next-generation on-chain risk identification and threat intelligence systems.
• Leading forensic investigations on real crypto theft, fraud, and market manipulation cases.
• Researching post-quantum cryptographic algorithms and their implications for blockchain security.
• Partnering with internal teams and external stakeholders for incident response.

Requirements

• Master's or PhD's degree in Blockchain security, Computer Science, Data Science, or a related field.
• Proficient in programming languages commonly used in blockchain analytics (e.g., SQL, Python, Javascript).
• Experience applying machine learning or AI techniques to blockchain data analysis.
• Strong publication record in top-level industry or academic conferences.
• Experience with blockchain monitoring/forensic tools and analytics platforms.
• Familiarity with NIST PQC standards and lattice/hash-based cryptography fundamentals.
• Understanding of quantum computing threats to elliptic curve cryptography.
• Security or risk control experience is a plus.
• Effective communication and collaboration abilities.
• English is essential; proficiency in Mandarin is an advantage.