M-KOPA

Senior Credit Analytics Manager

M-KOPA

full-time

Posted on:

Location Type: Hybrid

Location: AccraGhana

Visit company website

Explore more

AI Apply
Apply

Job Level

Tech Stack

About the role

  • Build predictive models for credit loss, cash flow, and customer behaviour using SQL, Python/R on large transactional datasets
  • Design and run experiments—A/B tests and causal analyses to optimize credit strategies and improve portfolio performance
  • Translate data into strategy—present compelling analytical insights to senior leadership on credit policy, pricing, and risk appetite
  • Partner cross-functionally with Product, Data Science, Finance, and Operations to embed analytics into credit decisioning

Requirements

  • 5+ years working with consumer credit, lending, or financial services data—understanding credit performance metrics, loss drivers, risk concentration, and portfolio analytics.
  • Deep, hands-on expertise using SQL and Python or R to analyse large datasets, build predictive models (loss models, cash-flow projections, IFRS 9 provisioning), and run statistical experiments.
  • Proven ability to translate technical analyses into executive decision support—influencing credit policies, pricing, terms, and risk appetite through clear, compelling data storytelling presented to senior leadership.
Benefits
  • Professional development programs and coaching partnerships
  • Family-friendly policies and flexible working arrangements
  • Well-being support and career growth opportunities
  • Hybrid working in Ghana with diverse teams across UK, Europe, and Africa
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonRpredictive modelingA/B testingcausal analysisdata analysisstatistical experimentscredit performance metricsportfolio analytics
Soft Skills
data storytellingcommunicationinfluencingcollaborationpresentation skills