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Job description
Risk Analyst (SQL), KYC Fraud Prevention & Compliance Rule Analysis
Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Asia / Hong Kong / New Zealand, Auckland / New Zealand, Wellington / South East Asia / Vietnam, Ho Chi Minh Operations, Strategy & Project Management – Risk / Full-time: Remote / Remote Apply for this job Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 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 a) detecting and preventing fraudulent activities related to onboarding processes and existing user accounts; and b) supporting compliance case analysis/detection under co-prevention scope. 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.
Responsibilities:
- Investigate suspicious user behaviours and 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.
- Monitor, analyse, and interpret large volumes of user and transaction data to detect anomalies or fraudulent trends.
- Collaborate closely with Compliance, Security, Customer Support, and Engineering teams to manage and escalate fraud cases effectively.
- 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.
- Prepare clear and concise reports on investigation findings and recommend process improvements.
- Support initiatives to enhance internal risk policies, fraud prevention strategies, and automated monitoring systems.
- Collaborate with global/local regulatory teams to deploy the proper risk control measures to mitigate the potential fraud attacks.
Requirements:
- 3+ 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.
- Experience in handling complex fraud investigations and familiarity with transaction monitoring systems.
- Excellent analytical skills, with the ability to interpret and manipulate large datasets (e.g., SQL proficiency preferred).
- Strong sense of integrity, professional scepticism, and critical thinking.
- Ability to thrive in a fast-paced, remote-first environment and manage multiple priorities effectively.
- High level of discretion when dealing with sensitive and confidential information.
- Passion for blockchain, cryptocurrency, and the future of financial technologies.
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. 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. Apply for this job When applying, mention the word CANDYSHOP to show you read the job post completely.
