Risk Operations Specialist

Summary

Join Binance, a leading global blockchain ecosystem, as a Risk Operations Specialist. You will play a crucial role in reviewing and managing batch registration groups flagged by our model team, acting as a bridge between detection and downstream risk domains. Analyze fraudulent behaviors, implement preventive measures, and collaborate with AI teams to enhance detection efficiency. Responsibilities include analyzing fraud patterns, collecting and analyzing data, providing feedback to model teams, and collaborating with other risk teams. You will also track key performance indicators and work in a fast-paced, dynamic environment. This role requires proven experience in fraud detection and strong analytical skills, along with familiarity with data analysis tools and cross-team collaboration. Binance offers competitive salary and company benefits, including a work-from-home arrangement.

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

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

Preferred Qualifications

• 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

Benefits

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)