Make a significant impact in anti-money laundering initiatives as a Global AML Data Scientist at RBC. You will innovate and develop effective transaction monitoring techniques. This position is integral to enhancing RBC’s anti-money laundering program.

You will utilize sophisticated data science methods to analyze transactions, define thresholds, and improve existing monitoring solutions. Collaboration with teams across the bank is key to ensuring comprehensive risk identification and management. Key Responsibilities:

- Design and improve Transaction Monitoring models
- Conduct quantitative analysis to set monitoring parameters
- Showcase solutions with data visualizations for stakeholders
- Lead innovations in transaction monitoring analytics
- Work with auditors to validate monitoring approaches Requirements:
- Robust data analysis and problem-solving capacity
- Proficient in manipulating datasets with Python
- Knowledge of SQL and HIVE databases
- Experience in data visualizations with Python
- Excellent communication skills to simplify complex concepts Bring your expertise in data science and risk management to RBC and enhance the Global AML program efficiently.

📌 Global AML Data Scientist Role at RBC (Toronto)
🏢 ODAIA
📍 Toronto