Senior Analyst, Application Development (Data Science & Analytics) 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: Senior Analyst, Application Development (Data Science & Analytics)

Ref No: 2000000Q
Location: Lagos
Job: IT TECH, SEC & OPS
Organization: Technology and Services
Schedule: Regular
Shift: Standard
Job Type: Full-time
Grade Range - From: Banking Officer  Grade Range - To: Assistant Manager

Job Objective(s)

• To create the detailed IT solution/ service design, based on the functional specifications, to meet quality & performance requirements & technical constraints
• To define what is the service effect , how will it be delivered and how will it be consumed by users
• To build, configure and/or customise technical solution, 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
• Assist development Team Lead in all activities with respect to application development & management operations and support
• Mining and analysis of data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Development of prototypes (to improve envisioning and communication) and proof-of-concept systems (to test technology) to validate potential solutions
• Supervise the development of custom data models and algorithms to apply to data sets.
• Develop technical design that will support the development, execution and operations of the service.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Create the service development plan. Review and agree with users
• Build, configure or customize the technical solution (technical code components and services)
• Ensure compilation of code and components into application.
• 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
• Assist in maintaining, supporting and upgrading existing IT systems and applications
• 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 business intelligence and 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

Experience:

• 3-5 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.

Application Closing Date
Not Specified.

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