Senior Specialist - Data Integration and Operational Analytics.Finance

•   Highly dynamic and fluctuating Telecommunications industry 
•   Highly competitive market with new and established competitors 
•   Fast moving industry 
•   Legislative changes
•   Rapid pace of digitalization
•   Challenging and sensitive industrial relations environment 
•   Prevailing economic pressures affecting staff and customers 
•   Fluid complexities of customer expectations and demands

Credit Risk Analytics forms part of the wider Credit Risk and Billing environment within MTN Finance. We are responsible for risk analysis across the entire credit lifecycle of the post-paid customer base, including consumers as well as businesses. Furthermore, the team is responsible for provisions modelling and modelling and analysis that supports the setting of the post-paid credit risk appetite and credit book management. Other analyses done within this team support fact-base decisioning within the credit vetting process, billing, debt collection as well as other credit risk management activities.
 

Data Extraction 
•   Provide input into the design, and execute on development, implementation, and monitoring data extraction processes for key credit risk analytics data, ensuring efficiency, quality, stability and ease of use.
•   Play an active role in data warehousing and the building of dimensional marts
•   Liaise with data stewards across MTN to ensure accurate credit risk data of high quality in a format that is conducive to analysis.  
•   Sharing of information and knowledge to the data integration team and key members across Credit Risk Analytics in order to ensure business continuity

Data Analysis
•   Perform analysis relating to credit risk and billing operations, ranging across the credit lifecycle, translating data into valuable information to recommend and inform business decisions and to quantify the impact of those decisions.
•   Support credit risk analysts to ensure accurate analysis and modelling.

System Configuration and Integration
•   Accurate translation of business rules is configured and tested before implementation in the credit decisioning system

Visualization
•   Creation of dashboards that visualize the reports and analyses created by credit risk analysts

Education:

• Bachelor’s degree in Information Technology, Advanced Mathematics/Business Mathematics/Statistics/Risk Management or similar field
• Honours degree in in relevant field advantageous
• Programming courses and qualifications/certifications will be advantageous

Experience:

• At least 4 years’ working experience in  data configuration, data management and analytics.

Software: Oracle SQL, SAS, Power Bi, R, Python, Presto/Hive

Required Skills & Capabilities

•   Adaptability to various platforms and programming languages 
•   Proficient with Microsoft Excel, Word and PowerPoint
•   Proven Collaboration skills
•   Good analytical and problem solving skills
•   Good Project Management Skills
•   Strong analytical ability