Blockchain Risk Control Lead
Summary
Analyze blockchain risks using AI-driven forensics and post-quantum cryptography to detect fraud, theft, and market manipulation across Bybit’s crypto exchange.
About Us
Job Brief
Main Responsibilities of a Blockchain Risk Control Analyst/Researcher
-
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;
Key Requirements
-
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.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Skills
As published by greenhouse · 13 questions · 2 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (5)
- Preferred First Name optional
- What is your current location (City & Country)? optional
- What is your earliest available start date? optional
- What is your current base salary per month (in MYR)?
- What is your expected base salary per month (in MYR)?
Pick from a list (6)
- Are you legally authorized to work Kuala Lumpur where this role is based?
- Are you open to relocation for this role?
- What is your current employment status?
- What is your highest level of education?
- Do you have a Master's or PhD's degree in Blockchain security, Computer Science, Data Science, or a related field.
- Please confirm that the information provided is true and complete.
Written answers (2)
- Are you familiar with NIST PQC standards (ML-KEM, ML-DSA, SLH-DSA, FALCON) and lattice/hash-based cryptography fundamentals? If yes, please elaborate further.
- Do you have solid experience in programming languages commonly used in blockchain analytics (e.g., SQL, Python, Javascript) and are experienced in applying machine learning or AI techniques to blockchain data analysis, fraud detection, or threat intelligence? If yes, please elaborate accordingly.
