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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 250 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.We are seeking a highly motivated Fraud Operations Specialist to focus on reviewing and managing batch registration groups identified by our model team. This role acts as a critical bridge between batch registration detection and downstream risk domains, including reward fraud, ATO & scam, and KYC fraud teams. The specialist will analyze fraudulent behaviors, implement preventive measures, and collaborate closely with AI teams to enhance detection efficiency and resolution speed.

Responsibilities:

• Review and analyze batch registration groups flagged by the model team to identify existing fraudulent behaviors and take appropriate remediation actions.  
• Proactively analyze potential fraud patterns within groups and implement early prevention strategies.  
• Collect and analyze fraud data from downstream risk domains to identify earliest aggregation patterns of suspicious groups.  
• Provide feedback to the batch registration model team to optimize detection algorithms based on missed cases.  
• Collaborate cross-functionally with downstream risk teams (reward fraud, ATO & scam, KYC fraud) to share insights and improve overall fraud detection.  
• Work closely with AI and data science teams to innovate and automate group detection and handling processes, improving resolution rate and reducing processing time.  
• Track and report key performance indicators such as resolution rate, processing time, quality assurance, and contribution of features to downstream risk domains. 

Requirements:

• Proven experience in fraud detection, risk operations, or related fields within digital asset or fintech industries.  
• Strong analytical skills with the ability to identify complex fraud patterns and user behaviors.  
• Familiarity with data analysis tools and platforms (e.g., SQL, Python, Excel, BI tools).  
• Excellent cross-team collaboration and communication skills, able to work effectively with model teams, AI teams, and multiple risk domains.  
• Detail-oriented with strong problem-solving capabilities and a proactive mindset.  
• Familiarity with fraud risk domains such as reward fraud, account takeover (ATO), scam detection, and KYC fraud.  
• Ability to handle large volumes of data and perform batch/group level analysis.  
• Comfortable working in a fast-paced, dynamic environment with evolving priorities.
Preferred
• Experience working with AI or machine learning teams to develop or improve fraud detection models.  
• Knowledge of blockchain, cryptocurrency trading platforms, and related regulatory environments.  
• Prior experience in operational roles involving batch user registration or account verification processes.  
• Strong innovation mindset with a drive to improve processes and leverage technology.

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.

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