Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
We are seeking a detail-oriented and proactive Risk Analyst ( KYC Fraud Prevention & Compliance Rule Analysis) to join our Risk Management team. In this role, you will be responsible for using rules/ML models/AI to a) detect and prevent fraudulent activities related to onboarding processes and existing user accounts; and b) leverage risk team data insights to support co-prevention scope for compliance TS/TM direction. You will play a key role in protecting our platform’s integrity, ensuring compliance with KYC (Know Your Customer) regulations, and safeguarding our users’ assets.
- Monitor, analyse, and interpret large volumes of user and transaction data to detect anomalies or fraudulent trends.
- Leverage AI/agentic tools to conduct case investigation, and extract patterns to identify and prevent fraudulent activities during and post-KYC onboarding, or conduct proper control measures/alerts to mitigate the potential noncompliance activities occurring in the platform.
- Develop and refine fraud detection/compliance rules, alerts, and operational procedures to improve the efficiency of risk controls or the collaboration between risk team and compliance team.
- Proactively enhance internal risk policies, fraud prevention strategies, and automated monitoring systems.
- Cooperate with global/local regulatory teams to deploy the proper risk control measures to mitigate the potential fraud attacks.
- 5+ years’ experience in fraud detection, risk analysis, AML/KYC compliance knowledge, or a related field, preferably within a fintech, financial services, or crypto organisation.
- Strong understanding of KYC requirements, fraud typologies, and compliance terminology/procedure.
- Excellent analytical skills, with the ability to interpret and manipulate large datasets (e.g., SQL proficiency mandatory).
- Strong sense of integrity, professional scepticism, and critical thinking.
- Ability to thrive in a fast-paced, remote-first environment and manage multiple priorities effectively.
- Strong written and verbal communication skills in English; additional language skills are advantageous.
- High level of discretion when dealing with sensitive and confidential information.
- Passion for blockchain, cryptocurrency, and the future of financial technologies.
Why Binance
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
