General Manager: Data Science

General Manager: Data Science - CredTech

CredTech is a 100% owned subsidiary of MTN Group FinTech. CredTech aims to emerge as Africa’s largest digital lending platform with operational and commercial excellence serving as its foundational pillars for achieving unprecedented success. CredTech strives to deliver technology and credit scoring services by establishing comprehensive tech and product capabilities, enhancing credit scoring, accelerating time to market, and improving debt and risk management through strategic partnerships.

We at CredTech believe this is a game changer in terms of our business strategy. We are looking at an incumbent to join us as we build a successful business together.

As part of your portfolio as General Manager: Data Science - CredTech, you will be responsible to:

• Define, develop and execute the CredTech and BankTech Data Monetisation strategy. The General Manager is responsible for providing guidance, input and leadership across the Data Science function, using AI, ML and advanced data science methodologies
• Lead the application of Machine Learning/Deep learning to optimize the use of data assets across the function, to mine actionable insights to value generating outcomes. The General Manager will also oversee the development of data architectural capability & prediction capabilities across the function to ensure effective management of data and business insight generation. The incumbent will oversee the building of the next generation foundational BankTech data infrastructure. The incumbent will be at the intersection of data and the business, partnering closely with data owners and senior leaders across Group Fintech
• Contribute to BankTech’s overall strategic goals, to achieve profitable growth, and to continuously improve the operations performance

The incumbent must have the following:

• Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science, Degree in Financial, Commerce, Statistical or related field.
• Master’s Degree in a Financial, Commerce, Statistical or related field (preferred)
• AI/ML professional certification
• Minimum 10 years of relevant work experience with a Global Brand
• A minimum of 4 years’ experience at a Senior position in financial services, consulting, strategy, analytics, engineering, or related industry
• Experience in leading and managing large scale logistical regression / machine learning prediction models in a highly data driven environment, preferably within a Financial Services / Consumer Finance concern, in a senior technical capacity
• Experience in decision science and data analysis within banking or financial services industry
• Familiarity with Applied Machine Learning, ML flows and Data Science
• Experience with SQL, Python, or other data analytics/data science languages
• Deep understanding of the digital banking ecosystem, players, business models and industry related best practices
• Worked across diverse cultures and geographies
• Entrepreneurial spirit, self-driven and ability to motivate a fast-paced team
• Attitude of Innovation, inventiveness and thought leadership
• Abreast of global mind-set and best practice
• Willing and flexible to travel within Africa and Middle East
• English speaker. French, Portuguese, Zulu, Swahili, and other African languages a plus

What will give an edge to your application:

• MBA or Master’s Degree
• Understanding emerging markets advantageous
• Pan Africa multi-cultural experience is advantageous

Position Location: Dubai, United Arab Emirates

Application Closing date: 07 April 2025. Late applications will not be accepted.

Should you not hear from us within 2 weeks of closing date, please consider your application unsuccessful.