Operations Fraud Prevention Manager

2 days ago

Brisbane, Queensland, Australia beBeeFraud Full time $120,000 - $200,000

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users.

We are trusted for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products.

Our offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more.

As a highly motivated Risk Operations Specialist, you will 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.

You will analyze fraudulent behaviors, implement preventive measures, and collaborate closely with AI teams to enhance detection efficiency and resolution speed.

Key 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 and Qualifications

  • 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,
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