Head of Data & Analytics

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Company Details
Industry: Banking
Description: At Renew Capital, we see opportunities in Africa where others, too often, only notice the problems. We invest, rather than provide handouts, by finding promising businesses, connecting them to a global network of investors and growing them into world-class companies. We do this because we believe that many growing businesses, together, create the engine that lifts entire nations out of poverty. Our ambition is to become the best middle market investment firm in Africa. We’re looking to hire those who embody our values and get excited about our vision for a prosperous Africa with growing businesses, thriving nations and a legacy of investment. Our organizational values are intelligence, integrity, beauty and grit.
Job Description

Responsibilities

 

Lead development of proprietary models for assessing SMEs and startups.

 

Build a scalable data infrastructure to collect, aggregate and analyze data across pipeline and portfolio companies.

 

Develop tools and APIs to strengthen data capabilities across portfolio companies.

 

Partner with leadership to align data products with investment strategy.

 

Evaluate pipeline and portfolio companies on data quality, systems and technical capacity.

 

Advise, coach and support portfolio founders to strengthen their data management systems.

 

Oversee tech stack, architecture and data governance across Renew Capital’s innovation agenda.

 

Ensure repeatable, transparent and compliant models that support scaling investments across Africa.

 

Represent Renew Capital externally as a thought leader in data science and innovation.

 

Preferred Qualifications

 

8+ years in data science, ML/AI, or fintech, with experience in modeling, scoring or analytics.

 

Proven ability to build and lead high-performing tech teams.

 

Advanced degree in a quantitative field (CS, Statistics, Math, Engineering, Economics) preferred.

 

Hands-on with Python, SQL, R, ML frameworks and cloud data platforms.

 

Track record building production-grade ML models (credit scoring, fraud detection, risk analysis, etc.).

 

Understanding of African (or similar markets) fintech and SME ecosystems.

 

Strong communicator able to translate technical models into business outcomes.

 

 

 

Education: Degree, Diploma
Employment Type: Full Time

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