Build predictive models for credit loss and cash flow using SQL, Python or R.
Design and run A/B tests and causal analyses to optimize credit strategies.
Translate data into strategic insights for senior leadership on risk and pricing.
Partner with Product, Data Science, Finance, and Operations to embed analytics into decisioning.

🎯 Requirements

Advanced analytics with SQL and Python or R to build loss/IFRS 9 provisioning models.
5+ years in consumer credit or financial services data.
Digital lending/fintech experience highly valued.
Strategic communication to influence policies on pricing and risk.
Core tech stack: SQL, Python or R, Power BI, Excel.

🎁 Benefits

Professional development programs and coaching.
Family-friendly policies and flexible working.
Well-being support and career growth opportunities.
Hybrid working in Ghana with teams across UK, Europe, and Africa.

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