Anti-Financial Crime Modeling Analyst
Luno(14 days ago)
About this role
An Anti-Financial Crime Modelling Analyst at Luno will support and grow the Anti-Financial Crime Analytics capability, working closely with the Analytics Manager and wider AFC teams. The role helps shape platform behaviour to reward genuine customers and detect unusual or suspected activity while contributing to Luno's compliance and growth objectives across global markets.
Required Skills
- AML Modeling
- Fraud Detection
- Feature Engineering
- Python
- PySpark
- SQL
- Databricks
- Looker
- LookML
- Model Monitoring
+6 more
Qualifications
- Bachelor's Degree (Stats, Maths, CS, Engineering, Economics)
About Luno
luno.comLuno is a cryptocurrency exchange and wallet platform that enables individuals to buy, sell, trade, and securely store Bitcoin, Ethereum and other digital assets. It provides web and mobile apps with fiat on/off ramps, recurring buys, basic trading tools, and custodial wallet services with security features like two‑factor authentication and cold storage. Serving millions of retail customers—particularly in emerging markets such as Nigeria, Indonesia, South Africa and Malaysia—Luno also offers educational resources to help users learn about crypto investing. The company emphasizes simple onboarding, local payment methods, and compliance with regional regulations.
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