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.
By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.
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.