Desk Head, Application Development (Analytics & Data Science) at First Bank of Nigeria Limited

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.

We are recruiting to fill the position below:

Job Title: Desk Head, Application Development (Analytics & Data Science)

Job Ref.: 2000000L
Location: Lagos
Schedule: Regular
Shift: Standard
Job Type: Full-time
Job: IT TECH, SEC & OPS
Organization: TECHNOLOGY AND SERVICES
Grade Range - From: Assistant Manager  
Grade Range - To: Manager

Job Objective

• To create the detailed IT solution/ service design, based on the functional specifications, to meet quality & performance requirements & technical constraints
• Build solutions using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
• To drive business results with data-based insights using a variety of data mining/data analysis methods, variety of data tools, building and implementing models and creating algorithms/simulations
• To build, configure and/or customise analytical solutions, based on the functional and technical specifications, to meet quality & performance requirements

Duties & Responsibilities

• Assist in planning, coordinating and supervising all activities related to the design, development and implementation of the systems and software applications
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assist in developing service acceptance criteria. Propose performance levels for new service. Review and verify service requirements with users. Agree and document service acceptance criteria
• Coordinate with different functional teams to implement models and monitor outcomes
• Build, configure or customise the technical solution (technical code components and services)
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Manage automation and monitor application integration as code iteratively goes through assembly and product test
• Implement a controlled process that extracts software artifacts from the code repository, transforms it to an integrated product, and returns the result to the code repository
• Actively participate in unit testing / quality reviews through the build phase to ensure that the solution meets the agreed functional specifications
• Participate in the customisation of application packages
• Ensure that solutions meet requirements outlined in the design documentation
• Ensure accuracy and timeliness in delivery of reports
• Review technical constraints and performance issues of all integration solutions
• Provide leadership and technical guidance to reports

Job Requirements
Education:

• Minimum of a first Degree or its equivalent in Statistics, Mathematics, Computer Science or another quantitative field
• Masters or a recognized professional certification will be an added advantage

Experience:

• 5-7 years of experience manipulating data sets and building statistical models
• Deep knowledge of SQL database programming language, both MSSQL and Oracle including SQL Language and PL/SQL
• Strong problem-solving skills with an emphasis on product development
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online