Context (Global influences, environmental / industry demands, organisational mission etc.)
- MTN is evolving from a mobile communications provider to a digital platform operator where innovation, operational and commercial excellence is critical for success. To excel today and sustain future growth, MTN must develop the required capabilities internally to provide the market and customers with EPIC experiences, products and services which fulfil the belief that everyone deserves the benefits of a modern connected life.
- The Financial Operations function’s focus is increasingly to empower other business functions with actionable intelligence to enable decision making. In order to achieve this will require automation of high-volume manual activities and improving the quality of data in order to improve the efficiency of issue resolution for clients. A shift toward delivering faster, more reliable reporting and providing predictive analyses is required.
- The optimisation and integration of systems will be a key driver of the Credit Risk and Billing strategy fulfilment.
- Highly dynamic and fluctuating Telecommunications industry
- Highly competitive market with new and established competitors
- Fast moving industry
- Legislative changes
- Rapid pace of digitalisation
- Prevailing economic pressures affecting staff and customers
- Fluid complexities of customer expectations and demands
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Key Activities and Responsibilities:
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Strategic Input
- The Senior Manager will play a critical role in shaping the company’s credit risk framework by providing high-level strategic input.
- This includes collaborating with senior leadership to define credit policies that balance risk and reward, identifying opportunities to enhance customer acquisition and retention through innovative credit solutions, and ensuring alignment with the company’s long-term growth and profitability goals.
- By leveraging market insights and advanced analytics, the individual will influence decision-making to strengthen the company’s competitive position in the telecommunications sector.
Credit Analytics
- Design, implement and automate credit analytics analysis across revenue, cost of sales and operating expenses
- Collaborate with business in order to identify solutions which drive profitability using analytical feedback
- Build reporting and analytics environments to facilitate decision making
- Design and Implement Big Data analysis to draw financial insights for the business
- Develop channel profitability analyses
- Manage on-going evaluation of consumer portfolios or any new products and
- Provide expert financial support to all divisions in respect of project pre- and post- implementation
- Maintain and circulate regular benchmarking data of MTN SA together with other companies within MTN Group and other similar/comparable companies within the region and rest of the world, using among others, MTN Group subscribed research
- Source and collate information/data necessary for analyzing financial impact of projects & products.
- Review the assumptions that underlie the financial models of company’s products in order to ensure reasonableness and completeness of such assumptions.
- Interact with billing, commercial legal, technology partners and network group to ensure completeness of financial analysis.
- Support other divisions in preparation of Business cases by using financial and nonfinancial assumptions
- Own, manage, maintain and coordinate the various product and services costing
- Support Ad-hoc requests from management by providing different analytical reports in order to enhance Management decision making
- Drive and coordinate any additional analysis to be performed based on initial analysis results
- Define and implement credit risk scorecards that are regular, calibrated and aligned to risk trends to effectively meet organisational goals
- Define and implement fraud detection and management processes and systems to reduce fraud risk
- Maintain relationships with bureau service suppliers to ensure alignment with the credit risk and billing department deliverables and internal stakeholders
Data Analysis
- Collate inter-related information from various systems or business units and integrate into overall conclusions or recommendations of credit risk
- Oversee the use of various software applications, models and tools to assemble, manipulate and/r format data and/or reports.
- Continually validate the definition of data against other sources to ensure that credit risk and billing reports are interpreted correctly by stakeholders. Represent the credit risk and billing department at internal stakeholder forums.
- Create, validate and promote the use of mathematical models to assist in decision making processes
- Assess current data sources available and find new and additional data and make these available to analysts to support projects.
- Liaise with IS to gather all required support for data extraction for reporting purposes.
- Drive best practices, continuous improvement and innovation within the credit risk and billing department models.
Controlling and Reporting
- Prepare ad-hoc reports and presentations of financial information for delivery to executive level management and the business
- Corroborate financial and non-financial data in order to develop key business insights
- Ensure compliance with the overall reporting process and application of the business Consider IFRS and identify where gaps or concerns exist
- Monitor the compilation of information into reports, ensuring value-add to the business
- Manage and coordinate requests for quantitative and qualitative data, and ensure findings are presented in a way that meets stakeholder requests
Project Management
- Develop and drive the execution of agreed projects which will include the drafting or reviewing of business requirement specifications
- Drive the implementation, tracking, monitoring and compliance of projects
- Ensure contracts are managed in line with Procurement Policies and act as the main custodian of credit risk contract negotiations
- Co-ordinate project reporting to ensure effective implementation of the integrated project management model
- Ensure Risks are identified and managed
Budget Management
- Forecast, plan, and review the business unit budget in line with the overall department
- Manage and optimise the budget, ensuring all expenditure is in line with the agreed budget
- Monitor costs and determine initiatives to optimize
Human Resources Management
- Oversee acquisition of critical talent to develop best in class credit risk analytics department. Maintaining adequate resourcing levels in the department’s structure to meet all goals and objectives aligned with the credit strategy
- Ensure all staff have clearly defined metrics to evaluate success and continuous, measurable improvement and that these are properly monitored
- Manage, train, up-skill, motivate, retain, and recruiting of staff
- Provide ongoing training of the team members
- Compile monthly departmental performance reports
Required Skills & Capabilities e.g. teaching, report writing or specific skills/abilities such as computing or the ability to work without supervision
- Advanced Excel capability
- Expert analytical and financial modelling skills
- A strong need to comply and align with new financial standards, financial reporting standards, accounting principles and best practices
- A strong need to keep abreast of industry changes so as to develop accurate financial plans
- Record of building capabilities within large organizations (e.g., CoE, Training Academy and governance bodies)
- Excellent leadership skills in building, developing, and managing a strong team
- Ability to delegate to achieve right level of involvement on day-to-day decisions
- Good problem-solving skills (i.e. problem definition and structuring, analysis definition, insight generation and recommendation generation)
- Knowledge of the regulatory and legislative requirements
- Good written and oral communication
Key Deliverables
- Provision of insightful predictive analytics
- Reporting information accuracy and completeness
- Robustness of reporting analysis conducted
- Application of best practice methodology and design architecture
- Timely reporting and the accuracy thereof/value-add
- Overcome bottlenecks timeously (according to SLA’s)
- Compliance to accounting/financial standards, legislation and regulatory requirements
- Collaboration and integration on BI delivery
- Provision of expert financial support to the business
- Continuous improvement of process and integration of various systems to improve efficiencies
- Customer satisfaction index (internal)
- Builds capability in own area as well as supporting business areas
- Completion of departmental projects within agreed time frames
- Achievement of departmental performance targets
- Alignment with Business Units, IT & Support area strategies
- Efficient and effective operational processes and procedures
- Optimal staffing to deliver on departmental KPAs
- Effective building and management of relationships with internal and external business partners.
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Education:
- Advanced degree in Finance, Statistics, Data Science, or a related
- Minimum of 8-10 years of experience in credit risk analytics, with a focus on strategy and model development.
- Proven leadership experience managing teams of 10+
- Expertise in Python, SAS, and data visualization
- In-depth knowledge of IFRS 9 and its practical
- Strong background in credit modeling, preferably with banking
- Excellent communication and reporting
Experience:
- 8 years in Management Accounting
- At least 3 years in Credit
- Systems – Oracle ERP, Hyperion, Data Warehousing, SAS
- Experience with IFRS 9: With extensive experience in IFRS 9, the Senior Manager will ensure the company’s credit risk practices comply with international financial reporting standards. This includes overseeing the implementation of expected credit loss (ECL) models, managing provisioning processes, and ensuring accurate financial reporting, drawing on a deep understanding of regulatory requirements and their application within a telecommunications context.
- Credit Model Development and Banking Experience: The ideal candidate will bring extensive experience in building and refining credit risk models, ideally gained within a banking environment. This expertise will encompass designing scoring models, stress testing, and validation processes to assess customer creditworthiness and predict default risk, enabling the company to optimize its credit offerings and maintain a competitive
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