Stephen Olateru is an experienced Data Scientist with a history of outstanding skill in the empirical analysis of financial and econometric data, using data driven insights and predictive models to discover information that may be used to solve complex business questions and create opportunities that enhance and extend the organization’s franchise.

Over the years, he has been engaged in the design, creation, implementation, and management of predictive analytics that leverage large and varied datasets, both financial and non-financial, using a wide range of analytical tools, methods, and platforms.

He’s been involved in large, multi-cultural projects, some of which are:
Oracle Financial Services Application
International Financial Reporting Standards (IFRS)
Hyperion Performance Scorecard (HPS)
BASEL II Implementation SAS Enterprise Risk Management Solution
Enterprise Business Intelligence
Mobile Business Intelligence
Oracle Budgeting and Planning
Data Cleanup
Anti-Money Laundering for Banks – MANTAS
ETL Automation using SSIS