Senior Data Scientist - Financial Crime Risk
Tasks
- Analyze large datasets for trends patterns anomalies
- Build data pipelines algorithms tools for real time detection
- Deploy machine learning models for fraud detection
- Design experiments to evaluate detection systems
- Improve model performance continuously
- Lead machine learning model development
- Mentor junior data scientists
- Monitor and update models for state of the art capabilities
- Translate compliance requirements into data insights
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Autoencoders | Clustering | Git | Gradient boosting | Hadoop | Machine Learning | Neural Networks | Python | R | Real Time | Real-time analytics | Regression | SQL | Spark | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
N/A
Roles
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