Summary
Binance is hiring a Risk Analyst to monitor and investigate fraud across its platform, including payment fraud, scams and account takeovers. The role involves analyzing data and suspicious activity, developing detection signals and risk controls, and measuring their effectiveness in collaboration with product, engineering, data science and other teams. Applicants should have at least 5 years of relevant risk or fraud experience, strong investigative and data analysis skills, and proficiency in SQL and Python. The role is remote-first for the UAE posting, though work arrangements may vary by role and team; salary is described as competitive but no amount is stated.
The posting
As published on binance.com. Pulled from the employer's site and shown as they wrote it.
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:
- 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.
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.
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.