Senior Fraud Risk Analyst (SQL) - Remote

Binance; Hong Kong; Remote; HKD 600,000 - 900,000; Full time

Job summary

Binance is seeking a Senior Fraud Risk Analyst to monitor and mitigate platform-wide fraud across payments, accounts, and abuse typologies. You will conduct investigations, develop signals, and work with data science and engineering to implement robust controls.

You will lead risk strategy, build dashboards, and collaborate with product and legal teams in a remote-first global environment dedicated to protecting users and the platform.

Qualifications

• Minimum 5 years of relevant experience in risk control, fraud risk, or risk strategy, preferably in fintech, financial services, or crypto.
• Hands-on experience with at least one risk domain (phishing, scam, payment fraud, account takeover, or platform abuse) is preferred.
• Strong data-analysis skills; ability to translate raw data into actionable insights.
• Proficiency in Python/SQL and strong written/verbal English communications.

Responsibilities

• Monitor and analyze fraud risk across the platform, including payment fraud, account takeover, scams, and abuse typologies.
• Investigate suspicious transactions, accounts, and user behaviors using on-chain and off-chain data.
• Perform feature mining and create detection signals, rules, and mitigation strategies with data science and engineering teams.
• Design and implement risk controls (alerts, verifications, friction points) and improve operational procedures.
• Track industry fraud trends and drive proactive prevention initiatives.
• Build metrics, dashboards, and case reviews to measure strategy effectiveness.
• Collaborate with Product, Engineering, Data Science, Customer Support, Legal & Compliance, and external partners to embed controls.

Skills

Python/SQL

Data analysis

Investigative skills

Communication

Fraud risk knowledge

Team collaboration

Tools

Blockchain tracking

Job description

Binance is seeking a Senior Fraud Risk Analyst to monitor and mitigate platform-wide fraud across payments, accounts, and abuse typologies. You will conduct investigations, develop signals, and work with data science and engineering to implement robust controls.

You will lead risk strategy, build dashboards, and collaborate with product and legal teams in a remote-first global environment dedicated to protecting users and the platform.