Data Analytics Manager (Risk/Fraud/KYC)

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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business 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 confirm that you have read and agree to our Candidate Privacy Notice. Responsibilities Research and analyze risk patterns occurred on Binance platforms, using data driven thinking and quantitative analysis methodologies to identify, measure, contain and mitigate risks (e.g. fraud trading, spam registration, account takeover, card acquiring risk and payment fraud). Deploy, monitor and assess the effectiveness and stability of variables, rules and models, maintain and iterate the rules/strategies regularly to improve key risk matrix. Liaising with various stakeholders to develop new rules and strategy with optimized balance between user experience and risk mitigation solutions Business-Centric Strategic Analysis: Think and act like a business owner — leverage data analytics to identify opportunities that streamline compliance operations, reduce friction, and drive measurable efficiency gains. Translate complex regulatory and operational data into actionable insights that directly support the company's broader growth strategy. Executive-Level Strategic Partnership: Serve as a trusted, objective thought partner to Compliance business leaders and senior management, helping define what "success" looks like for the function. Co-develop north-star metrics, performance frameworks, and decision-making criteria that bridge compliance objectives with company-wide priorities. Team Leadership & Impact Maximization: Lead and develop the Compliance Data Analytics team with a clear vision and high standards.