Experience with statistical programming languages (for example, SAS, R, +AI).
Experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).
High proficiency in data mining, modeling, validation and insight generation.
Excellent working knowledge of statistics, mathematics and machine learning algorithms.
High proficiency in coding languages, including Python and SQL.
Ability to work with large data sets. Has sound understanding of big data technology stack
Understanding of cloud computing platforms and large-scale databases
Demonstrable ability to collaborate and work in teams
Excellent with communications and partner engagement
Experience with B2B, Financial Industry, Asset Management, Financial Market Data, Sales & Marketing is helpful.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world