Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
2 years ago

Additional Details

Job ID
77191
Job Views
79

Job Description



JOB DESCRIPTION



  • 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 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


Experience 



  • Minimum experience: 3 years as a data scientist


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