Lending is moving online. Mobile apps, embedded finance and open data are changing how borrowers apply, how risk is measured and how loans are collected. Lenders that digitise carelessly can grow portfolios quickly and then discover that arrears, fraud and over-indebtedness have grown faster.

The Digital Transformation in Credit Risk & Lending Training Course helps participants lead that change responsibly. It begins with the digital lending value chain and the risks that appear at each step. It then teaches the core modelling toolkit: data preparation, scorecard development, cut-off and pricing strategy, and the use of alternative and behavioural data. Governance receives equal attention, including model validation, explainability, fairness, privacy and regulatory expectations on provisioning and conduct.

Sessions are laboratory-style. Participants work with anonymised portfolio data, interpret scorecard outputs, set decision rules, design early warning dashboards and review a sample model governance pack. The week ends with each participant sketching a digital lending roadmap, with priorities, risks and measures of success for their own institution, so that digital speed and prudent credit risk management move forward together.

By the end of the programme, participants will be able to:

• Map the digital lending process and identify credit, fraud and operational risks at each step.
• Prepare and assess data for credit modelling, including alternative data sources.
• Build and interpret a simple application scorecard and set cut-off strategies.
• Design automated decisioning rules with appropriate overrides and controls.
• Develop early warning indicators and collections triggers from behavioural data.
• Explain how expected credit loss models under IFRS 9 depend on data quality.
• Apply model governance, validation and monitoring practices.
• Address fairness, explainability and data protection in automated lending decisions.

The programme is designed for lenders and risk professionals involved in digital credit, including:

• Credit risk managers and analysts
• Heads of retail, SME and consumer lending
• Digital banking and fintech product owners
• Data analysts and data scientists in financial institutions
• Microfinance and mobile lending managers
• Collections and recoveries managers
• Model validation and internal audit staff
• Compliance and data protection officers

Participants take away:

• A sample scorecard built and tested with portfolio data.
• A decision rule set with override and exception controls.
• An early warning indicator list and dashboard layout.
• A model governance checklist covering validation, monitoring and documentation.
• Guidance on fair and explainable automated decisions.
• A roadmap for digital lending in their own institution.

The programme is practical and data-driven. Methods include:

• Laboratory sessions using anonymised loan data in spreadsheets
• Short lectures on modelling and governance concepts
• Case studies of digital lenders in mobile and banking environments
• Group design of decision rules and monitoring dashboards
• Individual roadmap clinics with the facilitator

Delegates who attend the full programme and complete the practical exercises will be awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.