Head of Data & Analytics

Full time @RENEW CAPITAL posted 20 hours ago in Administration
  • Post Date : October 13, 2025
  • Apply Before : October 24, 2025
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Job Detail

  • Job ID 66874
  • Career Level  Officer
  • Experience  4 Years
  • Gender  Both
  • Industry  Administration
  • Qualifications  Degree Bachelor
  • Job Type  Full time

Job Description

Role Summary

Renew Capital is seeking a Head of Data & Analytics to lead the design and development of our in-house data platform. This role will drive the creation of proprietary models, infrastructure and scalable tools that underpin our investment approach. The candidate must combine deep technical expertise in data science with leadership capacity to grow and manage a cross-disciplinary team. The candidate will be expected to do the coding, design and development themselves. Over time, the team will expand to implement and scale the platform across a wide range of use cases.

The candidate must be located in Africa or willing to relocate.

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.

 

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