Omni Inclusive
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.
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.