Data Analytics Manager (Risk/Fraud/KYC)

About the Position

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.

We are currently seeking a Data Analytics Manager (Risk/Fraud/KYC) to join our team in Asia, focusing on risk analysis and data-driven strategies to enhance security and compliance.

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 the key risk matrix.
• Liaise with various stakeholders to develop new rules and strategies with an 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. Build a collaborative, high-performance culture where each team member's strengths are fully utilized - ensuring the team operates as a strategic force multiplier for the Compliance organization, not just a reporting function.

Requirements

• Bachelor degree or above, major in mathematics, statistics, computer science, etc.;
• At least 6-8 years of data analysis or data mining-related work experience, risk analysis background of financial derivatives (futures contracts, leverage trading, etc.) or eComm platforms is preferred. Knowledge of blockchain, payment, risk domain is a plus credit.
• Proficient in SQL language and at least one professional analysis tool, such as Python and R.
• Good willingness and ability to learn, outstanding ability to analyze and solve problems, and good coordination and communication.

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.

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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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