Data Scientist, AML Analytics
20 KING ST W:TORONTO, Canada
CAD 80K-115K (estimate) Mid-level Full Time
Tasks
- Analyze model performance and recommend improvements
- Apply network analysis to AML monitoring
- Collaborate with business partners and vendors to improve monitoring effectiveness
- Collaborate with monitoring and analytics teams to remediate risk exposure
- Create visualizations for model performance reporting
- Develop AML analytics solutions with machine learning
- Develop and maintain AML transaction monitoring program
- Develop model documentation and monitoring methodology
- Enhance AML analytics with network analysis features
- Identify and apply industry best practices and new technologies
- Implement and tune transaction monitoring solutions
- Perform NLP for risk detection
- Perform exploratory data analysis and feature development
- Train and evaluate supervised and unsupervised learning models
Perks/Benefits
- Agile collaborative team
- Coaching and development opportunities
- Opportunity to interface with executives
- Total rewards program
- Work-life balance
Skills/Tech-stack
Anti-Money Laundering | Data Analysis | Data Science | Data Visualization | Exploratory Data Analysis | Feature Engineering | Fraud risk | Fraud risk management | GitHub | Language Processing | Machine Learning | Money Laundering | Natural Language | Natural Language Processing | Network Analysis | Python | Risk Management | SQL | Supervised Learning | Transaction monitoring | Unsupervised Learning
Education
N/A
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