Support the implementation of the Data Science & Analytics as an enterprise capability in line with framework, analytics vision, strategies, roadmaps & projects
Design, develop and deploy statistical and mathematical models to solve critical financial services & operational business problems
Apply machine learning and AI techniques to financial services & operational business problems to deliver differentiated value
Continuously engage stakeholders to gather requirements, viewpoints and perspectives
Support the development and management of enterprise analytics requirements
Maintain analytics tools capability catalogs
Serve as subject matter expert on available visualization & analytical tools i.e. features, capabilities and best practices
Support capability increments by conducting training/info sessions with analytics stakeholders and business users with the overarching objective of insight driven enterprise transformation
Keep abreast of changes in the visualization tools marketplace and changes to existing enterprise tools
Provide quarterly change impact assessment on existing visualization tools where applicable
Develop analytics solutions leveraging a variety of available tools as assigned based on requirements and assigned priorities
Build ingestion processes to, prepare, extract, and annotate a rich data variety of structured & unstructured data sources
Participate in working group meetings as required
Collaborate closely with other teams within the CDO office to ensure consistency and a synchronized approach to all data related issues
Serve as a resource on projects as required
Ensure that all analytics operations are aligned to the enterprise analytics strategy & initiatives are synchronized where possible
Other duties as may be delegated by Data Analytics Lead
JOB REQUIREMENTS
Education
Minimum Education: Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. Advanced degrees are an advantage
