
Transaction Monitoring Engine Specialist
2 weeks ago
**Model Development**: Design and develop AI/ML models for transaction monitoring, focusing on anomaly detection and risk scoring.
- **Data Analysis**: Analyze large datasets to identify trends, patterns, and potential risks associated with financial transactions.
- **System Optimization**: Continuously improve the performance of monitoring systems by tuning models, refining algorithms, and integrating new data sources.
- **Regulatory Compliance**: Ensure that transaction monitoring processes meet all regulatory requirements and industry standards, including AML/KYC.
- **Collaboration**: Work closely with cross-functional teams, including compliance, IT, and risk management, to align monitoring strategies with business objectives.
- **Reporting and Documentation**: Prepare detailed documentation of model development processes, performance metrics, and compliance efforts.
- **Training and Support**: Provide training and support to team members on transaction monitoring tools and AI/ML methodologies.
- **Research**: Stay updated on industry trends, emerging technologies, and best practices in transaction monitoring and AI/ML.
**Requirements**:
- **Technical Skills**: Proficiency in programming languages (e.g., Python, R), experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn), and familiarity with data visualization tools.
- **Certifications**: Relevant certifications (e.g., CAMS, CFE) are a plus.
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