Credit losses rarely arrive without warning. The difficulty for most lenders is that the evidence is scattered across core banking records, collateral files, credit bureau updates and the impressions of relationship officers, and nobody is responsible for pulling it together in time to act. Supervisors and auditors now expect banks to show that deterioration is identified promptly, that staging under IFRS 9 reflects forward-looking information and that watchlist accounts are actively managed rather than simply reported.

The Advanced Banking Early Warning Systems (EWS) Training Course works through the complete life of an early warning framework. Participants start with the governance and risk appetite that an EWS must serve, then select quantitative and qualitative indicators for retail, SME and corporate exposures, combine them into rule-based triggers and statistical scores, and calibrate thresholds that balance detection against false alarms. Attention then turns to the operating model: who reviews an alert, what actions follow, how long each step may take and how outcomes are recorded and fed back into the model.

Teaching is hands-on. Participants analyse anonymised loan data in Excel, test triggers against historical defaults and work through watchlist case files from trade, agriculture, construction and consumer portfolios. The programme ends with each participant drafting an EWS improvement plan for their own institution.

On completing the programme, participants will be able to:

• Evaluate the strengths and gaps of an existing credit monitoring and watchlist process.
• Select leading indicators of borrower distress from transactional, financial, behavioural and external data.
• Design rule-based triggers and statistical early warning scores for retail, SME and corporate portfolios.
• Calibrate alert thresholds and measure performance using hit rates, false-alarm rates and lead time.
• Link early warning outputs to IFRS 9 staging and significant increase in credit risk decisions.
• Define escalation paths, action plans and timelines for accounts placed on the watchlist.
• Report early warning results to credit committees, the board and supervisors.

It is aimed at specialists who identify, manage or oversee deteriorating credit exposures, such as:

• Chief risk officers and heads of credit risk
• Credit portfolio managers and portfolio analysts
• Credit monitoring and watchlist officers
• Remedial, workout and recovery managers
• Relationship managers in corporate, SME and retail banking
• Risk model developers and model validation analysts
• IFRS 9 impairment and provisioning teams
• Internal auditors and bank examiners reviewing credit processes

Participants return to their institutions with:

• A catalogue of early warning indicators mapped to each portfolio segment.
• A calibrated trigger set tested against historical default data.
• A watchlist procedure with clear owners, actions and review deadlines.
• A dashboard specification for credit committee and board reporting.
• A method for showing auditors how warning signals feed IFRS 9 staging.
• An improvement plan for their bank's early warning framework.

Delivery mixes analytical work with credit judgement:

• Briefings from practitioners on credit monitoring and impairment practice
• Spreadsheet labs on trigger calibration and back-testing with anonymised loan data
• Watchlist case files drawn from trade, agriculture, construction and consumer lending
• Group reviews of participants' own early warning reports and policies
• A closing workshop to draft an institution-specific improvement plan

A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to each participant who attends the full five days and completes the calibration lab and watchlist case work.