Ahpollo-Analytics
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What we do.

We support retail, SME and wholesale lending across the entire credit lifecycle, from customer acquisition and origination through credit assessment, portfolio management, collections and recoveries. Our expertise extends across risk modelling, expected credit loss management, stress testing, capital management, and risk reporting. Together, these capabilities enable informed decision-making, effective risk management, and sustainable business growth.

THE CREDIT LIFECYCLE, END TO END
Risk appetite, pre-screening, KYC, affordability, fraud.
Application scoring, policy, risk-based pricing, approval.
Behavioural scoring, repricing, limit management, monitoring.
Arrears management, restructure, recoveries, write-off.

Grow safely: acquisition, origination & pricing

  • Prospecting models, lead scoring and customer segmentation
  • Application scorecards and underwriting models
  • Affordability, income estimation and stability models
  • Risk-based pricing, margin and profitability modelling
  • Credit policy analytics and cut-off optimisation

Protect the portfolio: behavioural & account management analytics

  • Behavioural scorecards (repayment, utilisation, churn, cross-sell)
  • Limit management and exposure strategies
  • Early warning and risk emergence models
  • Customer Lifetime Value (CLTV) and unit-economics frameworks

Stay compliant: IFRS 9, Basel & model risk management

  • Probability of Default, Loss Given Default and Exposure at Default models
  • Significant Increase in Credit Risk (SICR) and staging frameworks
  • Forward-looking macroeconomic modelling support
  • Economic capital and Basel-aligned models
  • Model validation, governance frameworks and audit-ready evidence packs

Recover more: collections & recoveries optimisation

  • Roll-rate, vintage and flow analysis
  • Treatment path design and workflow optimisation
  • Champion–challenger testing frameworks
  • Propensity-to-pay and recoveries segmentation

Enable decisioning at scale: analytics enablement & BI

  • Executive dashboards and portfolio monitoring
  • Automated ECL, risk and performance reporting
  • Data quality diagnostics and analytics workflow automation

Specialist resourcing & interim expertise

  • Interim credit risk analysts and modelling leads
  • Project-based delivery teams
  • Secondment support for regulatory and audit cycles

Decision intelligence beyond credit

  • Financial modelling and forecasting for executive decision support
  • Scenario, sensitivity and stress modelling
  • Quantitative advisory for non-credit risk (operational, model, enterprise)
  • Model governance frameworks for analytical workstreams outside credit
Who we serve

Credit-issuing institutions and quantitative leaders beyond credit.

We partner with institutions across the credit-issuing ecosystem in Africa, from heritage banks to digital-first lenders.

Primary clients

Credit-issuing institutions

  • Retail and business banks
  • Fintech lenders and digital banks
  • Microfinance institutions
  • Mobile network operators and wallet-based lenders
  • Credit bureaus and alternative data providers
  • Investors and credit funds
Beyond credit issuers, we also work with

Quantitative leaders, any industry

  • Executive and management teams whose strategic decisions require quantitative depth
  • Finance, treasury and planning functions that need analytical, modelling and forecasting support
  • Investors, funders and analytical units evaluating risk-weighted opportunities across markets and asset classes
WHERE WE OPERATE

Direct presence across three African markets.

Our institutional footprint is rooted in three economies that are bellwethers for African credit. We work with clients here directly, and through them reach portfolios across the wider continent.

Africa, with South Africa, Zimbabwe and Nigeria highlighted Nigeria Zimbabwe South Africa
South Africa
Headquarters and primary delivery base.
Zimbabwe
Active engagements across credit-issuing institutions.
Nigeria
Active engagements across credit-issuing institutions.