Responsibilities:
Understand the data consumed within Corporate Treasury
Identify data gaps, data uplift and data consolidation opportunities
Work with multiple data consumers to understand the data requirements
Work with multiple data providers to source the data for Corporate Treasury needs
Create logical data models to represent financial assets
Direct the control and governance requirements for data quality
Implement data quality controls
Qualifications:
Bachelors’ or Master’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
Programming experience in Python 5+ years and/or a compiled language (e.g. C, C++, Java)
Strong proficiency with SQL
5+ years of relevant, continuous experience
Experience at optimizing large complicated SQL statements
Strong developers with good knowledge of data structures and algorithms
Strong DB experience – Snowflake, MongoDB preferred
Bachelor's degree in Computer Science