Senior Manager - Credit Risk Analytics.Finance

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.

Global Influences/Environmental & Industry Demands
•    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

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
•    Creation of value to customers and the business

Education:

•    Advanced degree in Finance, Statistics, Data Science, or a related field.
•    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+ individuals.
•    Expertise in Python, SAS, and data visualization tools.
•    In-depth knowledge of IFRS 9 and its practical application.
•    Strong background in credit modeling, preferably with banking experience.
•    Excellent communication and reporting skills.

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 edge.