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compliance sql machine learning kyc aml📋 Description
- Monitor and analyze large data sets to detect anomalies and fraud.
- Use AI/ML tools to investigate cases and prevent onboarding fraud.
- Develop and refine fraud detection rules and alerts.
- Enhance risk policies and automated monitoring systems.
- Collaborate with global/regional regulatory teams to deploy risk controls.
🎯 Requirements
- 5+ years in fraud detection, risk analysis, AML/KYC, fintech/crypto.
- Strong understanding of KYC, fraud typologies, and compliance terms.
- Excellent analytical skills; SQL proficiency mandatory.
- High integrity, scepticism, and critical thinking.
- Thrive in a fast-paced remote-first environment; multitask.
- Strong English communication; additional languages helpful.
- High discretion with confidential information.
- Passion for blockchain and fintech.
🎁 Benefits
- Shape the future with the world's leading blockchain ecosystem.
- Collaborate with world-class talent in a flat, global org.
- Tackle fast-paced, autonomous projects in an innovative environment.
- Thrive in a results-driven workplace with growth opportunities.
- Work-from-home arrangement (varies by team/work nature).
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