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.

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.