Join Deep Native as a Data Scientist in Toronto (Hybrid) and tackle financial crime at scale using contemporary transaction monitoring techniques. Your expertise will help convert vast transaction data into actionable insights.This role involves analyzing large-scale data to identify patterns related to money laundering and suspicious activities. You will build detection logic for anti-money laundering (AML) practices, ensuring data integrity and quality across multiple layers. With responsibilities spanning from feature engineering to model validation, you will play a key role in combatting fraud in the fintech sector.Key Responsibilities:
- Analyze transaction and
📌 Data Scientist For Fintech In Toronto
🏢 Socket.dev
📍 Toronto
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