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Data Scientist at First Bank

First BankLagos, Nigeria Data and Artificial Intelligence
Full Time
First Bank of Nigeria Limited (FirstBank) is Nigeria’s largest financial services institution by total assets and gross earnings. With more than 10 million customer accounts, FirstBank has over 750 branches providing a comprehensive range of retail and corporate financial services. The Bank has international presence through its subsidiaries, FBN Bank (UK) Limited in London and Paris, FBNBank DRC, FBNBank Ghana, FBNBank Gambia, FBNBank Guinea, FBNBank Sierra-Leone and FBNBank Senegal, as well as its Representative Offices in Johannesburg, Beijing and Abu Dhabi. Since its establishment in 1894, FirstBank has consistently built relationships with customers focusing on the fundamentals of good corporate governance, strong liquidity, risk management and leadership. Over the years, the Bank has led the financing of private investment in infrastructure development in the Nigerian economy by playing key roles in the Federal Government’s privatisation and commercialisation schemes. With its global reach, FirstBank provides prospective investors wishing to explore the vast business opportunities that are available in Nigeria, an internationally competitive world-class brand and a credible financial partner. The Bank has been named "The Best Bank Brand in Nigeria” four times in a row - 2011, 2012, 2013, 2014 - by the globally renowned "The Banker Magazine” of the Financial Times Group; and "Most Innovative Bank in Africa” in the EMEA Finance African Banking Awards 2014. FirstBank’s brand purpose is to always put its customers, partners and all stakeholders at the heart of its business, even as it is poised to standardise customer experience and excellence in financial solutions across Sub Saharan Africa, in consonance with its brand vision "To be the partner of first choice in building your future”. Our brand promise is to always deliver the ultimate "gold standard” of value and excellence. This commitment is anchored on FirstBank’s inherent values of passion, partnership and people, to position our customers first in every respect.

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

Method of Application

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