Senior Data Scientist - ML, Python |
- AI/ML Development, Build predictive models and machine-learning algorithms.
- Expertise with data reconciliations, data quality, large data processing and controls
- Expertise leading large scale Enterprise Transformation initiatives with a clear track record of success.
- Ability to articulate intricacies of Technology Architecture
- Deep functional and technical experience in Capital Markets across Front Office, Middle Office, Operations, Risk & Finance.
- Demonstrated leadership, management, and development skills.
- Experience with predictive analytics using large and complex datasets.
- Enthusiastic about AI and ML optimizations and open-source technologies.
- Familiar with the following software/tools:
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining etc.
- Experience querying databases and using statistical computer languages: R, Python, SQL.
- Experience using web services: Redshift, S3, Spark
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL /
- Experience with BI tools: Tableau, QlikView.
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