Risk Analyst (SQL), KYC Fraud Prevention & Compliance Rule Analysis
Remote · Full Time
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- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- Work from home
- Eligibility
- Experienced professionals with a background in fraud detection, risk analysis, AML/KYC compliance, or a related field, especially those from fintech, financial services, or crypto environments, and who are comfortable working remotely in a fast-paced setting.
- Resume
- Required to apply
Job description
About the Company
Binance operates one of the world’s largest digital-asset ecosystems and is recognized globally for its high trading volume, large user base, strong security standards, transparent user-fund practices, fast trading infrastructure, deep liquidity, and broad suite of crypto-related products. Its platform spans trading, finance, education, research, payments, institutional offerings, Web3 capabilities, and other blockchain services. The company’s broader mission is to expand financial access and support the freedom of money through blockchain and digital assets.
About the Role
The Risk Management team is looking for a thorough and proactive Risk Analyst focused on KYC fraud prevention and compliance rule analysis. This position uses rule-based systems, machine learning models, and AI tools to identify and stop fraudulent behavior tied to user onboarding and existing accounts. The role also contributes risk-data insights to help support compliance prevention efforts across TS/TM-related directions. The goal is to strengthen platform integrity, improve KYC compliance, and help protect user assets.
Responsibilities
- Review and interpret high volumes of user and transaction data to spot irregular activity and emerging fraud patterns.
- Use AI and agentic tools to investigate cases, uncover patterns, and identify fraud occurring during or after KYC onboarding; apply controls and alerts to reduce potential non-compliance activity on the platform.
- Create, update, and improve fraud-detection and compliance rules, alerts, and operating procedures to make risk controls more effective and improve coordination between risk and compliance teams.
- Strengthen internal risk policies, anti-fraud approaches, and automated monitoring solutions.
- Work with global and local regulatory teams to roll out appropriate risk-control measures that reduce exposure to fraud attacks.
Requirements
- At least 5 years of experience in fraud detection, risk analysis, AML/KYC compliance, or a related area, ideally in fintech, financial services, or crypto.
- Solid knowledge of KYC obligations, fraud patterns, and compliance language and procedures.
- Strong analytical ability with proven skill in working with large datasets; SQL proficiency is required.
- Strong integrity, healthy professional skepticism, and sound critical thinking.
- Comfort working in a fast-moving, remote-first environment while handling several priorities at once.
- Excellent English communication skills in writing and speaking; additional languages are a plus.
- High discretion when handling sensitive and confidential information.
- Genuine interest in blockchain, cryptocurrency, and the future of financial technology.
Why This Role Appeals
- Help influence the future of a leading blockchain ecosystem.
- Collaborate with highly skilled colleagues in a global organization with a flat structure.
- Take on challenging, fast-moving projects with a high degree of autonomy.
- Work in a results-focused environment that supports career development and continuous learning.
- Receive a competitive salary and company benefits.
- Work-from-home arrangements are available, though they may vary depending on business-team needs.
Additional Information
The employer is committed to equal opportunity and values a diverse workforce as an important part of its success.
By applying, you acknowledge that you have read and agree to the Candidate Privacy Notice.
Artificial intelligence tools may be used in parts of the hiring process, including application review, résumé analysis, response assessment, and spotting potential inconsistencies or verification signals using available information. These tools support recruitment but do not replace human judgment, and final hiring decisions are made by people. For questions about data processing, you may contact the employer directly.