Binance - Risk Analyst (SQL), Fraud Prevention
Requirements
• A minimum of 5 years of relevant experience in risk control, fraud risk, or risk strategy, preferably within a fintech, financial services, or crypto organisation or the related experience on anti-fraud control. • Strong understanding of fraud typologies, hands-on experience in at least one risk domain (phishing, scam, payment fraud, account takeover, or platform abuse) is preferred. • Solid investigative and data analysis skills; comfortable working independently from raw data to insight to action. • Proficiency in Python/SQL. • Excellent written and verbal communication skills in English. • Strong interest and tenacity in understanding and protecting users against fraud and abuse. • Knowledge of blockchain tracking tools is advantageous, but not required. • Exceptional interpersonal and communication skills; able to collaborate effectively with an international team of highly skilled professionals.
Responsibilities
• Monitor and analyze fraud risk across the platform, spanning payment fraud, account takeover, scams, and other emerging abuse typologies. • Conduct thorough investigations into suspicious transactions, accounts, and user behaviors, using internal data, on-chain data, and external sources to identify patterns, networks, and root causes. • Perform feature mining and in-depth data analysis on fraud cases; translate findings into detection signals, rules, and mitigation strategies together with data science and engineering teams. • Design and implement risk control measures that prevent losses and protect users, such as alerts, verifications, and friction applied at high-risk moments in the customer journey. Develop and refine operational procedures to improve the efficiency of risk controls. • Track industry-wide fraud and abuse trends; proactively identify new attack vectors and drive prevention initiatives before they scale. • Build metrics, dashboards, and case reviews to measure strategy effectiveness (detection coverage, warning engagement, false positives, prevented losses, repeat victimization). • Collaborate with Product, Engineering, Data Science, Customer Support, Legal & Compliance, and external partners to embed risk controls into the customer journey and ensure user and platform security.
Benefits
• 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)
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