The role involves managing card issuer-side risk, including fraud detection, transaction monitoring, and the design of risk control strategies. You will also build and refine account takeover (ATO) prevention pipelines and collaborate with cross-functional teams to implement effective risk mitigation measures.
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, and more. Our mission is to increase the freedom of money and financial access for people around the world.
Responsibilities:
Card Risk Control (Issuer Side)
Serve as the primary risk point of contact for card issuer side risk matters, including BIN card fraud, transaction monitoring, and card lifecycle risk control
Collaborate with payment and card business teams to gather requirements, propose risk control measures, and drive end-to-end implementation
Design and deploy risk rules and strategies for card-related scenarios, including card opening, credit limit adjustments, transaction authorization, and dispute/chargeback handling
Monitor card risk metrics, conduct post-event analysis, and continuously optimize control effectiveness
Evaluate third-party card risk vendors and solutions; drive integration where valuable
ATO & Risk Strategy
Design and deploy ATO risk control strategies, including risk analysis, feature extraction, rule/strategy deployment, and control flow design
Build and refine ATO detection and prevention pipelines across login, device, transaction, and account-change scenarios
Analyze attack patterns and emerging threats; translate insights into actionable detection rules and mitigation strategies
General
Document risk control designs, decision logs, and post-incident reviews
Work with data and engineering teams to implement and tune risk models and rules
Participate in cross-functional projects spanning payment, compliance, and product teams
Requirements:
Essential
3+ years of experience in risk control, fraud prevention, or a related analytical role
Hands-on experience designing and deploying risk rules/strategies in a real-time production environment
Strong analytical skills: ability to extract risk features from data, build detection logic, and measure control effectiveness
Solid understanding of risk control frameworks, including rule-based systems, scoring models, and layered defense design
Proficiency in SQL and data analysis tools; comfortable working with large datasets
Strong communication and stakeholder management skills — ability to translate business needs into risk control requirements and drive cross-team execution
Experience using AI tools in day-to-day work, e.g., leveraging AI to analyze risk issues, automate and optimize rules, screen data, or accelerate investigation workflows
Preferred
Experience in Card risk control on the issuer side (BIN management, authorization risk, 3DS, card fraud detection)
Experience with ATO, account fraud, or identity risk domains
Experience working with third-party risk vendors (e.g., face verification, device fingerprinting, fraud scoring)
Knowledge of regulatory and compliance considerations in card and fintech risk
Bilingual English/Mandarin is required to effectively coordinate with overseas partners and stakeholders.
Why Binance
Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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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.
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