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Banking, Finance & FinTech5-day executive programUSD $1,999

Infrastructure Debt & Project Credit Analysis

Assess and monitor project and infrastructure debt from the lender's seat — DSCR-based covenants, credit committee papers and workout strategies modelled in MS Excel.

IPAT Executive Certificate 5 intensive days CEOs, board members, and senior leaders in banking, payments, insurance, capital markets, microfinance and their regulators and development partners.

The executive challenge

The problem this program solves

The infrastructure debt agenda is stuck between two truths: the strategy deck says transform, and the income statement says the legacy book still pays the salaries. The infrastructure debt window does not stay open: rails, licences and customers consolidate around whoever moves first. You will stress-test your own institution in the IPAT Data Lab™ and leave with a infrastructure debt strategy that survives both a supervisor and a competitor.

Context

Why this matters now

Capital, liquidity, IFRS 9 and AML/CFT expectations keep rising on infrastructure debt while margins compress.
Every repricing event in infrastructure debt — a rail, a licence, a partnership — consolidates the market around first movers.
Deposits, talent and licences migrate toward institutions that can articulate a credible infrastructure debt position.

Capability

What you will be able to do

  • Diagnose where your institution creates — and destroys — value in infrastructure debt across the balance sheet.
  • Present a infrastructure debt position to boards and supervisors with evidence they will accept.
  • Read the economics of infrastructure debt like an operator: unit costs, network effects and risk-adjusted return.
  • Sequence a infrastructure debt transformation agenda that a board will fund and a regulator will endorse.

The IPAT Course Standard

The five-day journey

Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.

IPAT Signature Case™

Deposits Leave at the Speed of a Rumour

A viral post questions a mobile-money platform’s solvency. The institution is sound, but its deposit base is concentrated and its app is the third-slowest in the market. By morning, the interbank line has tightened.

Your decision: Set the 72-hour posture — liquidity, communication and regulator engagement — with incomplete information about how far the run goes.

Deposit concentration scheduleLiquid asset bufferSocial velocity and sentiment data

IPAT Data Lab™

The infrastructure debt unit economics at a mobile-money platform work in the business case and fail in the ledger.

Dataset: Synthetic product-level revenue, cost and capital data for a mobile-money platform.

Your task: Rebuild the unit economics, stress them against rate and funding shocks, and recommend what to scale or exit.

A stress-tested infrastructure debt economics model and a board-grade summary page.

Data → Analysis → Decision, not Data → Code → Certificate

IPAT DIOS™ Framework · Data Intelligence for Official Statistics & Organisations

From raw data to strategic intelligence in five phases

Software-led programmes at IPAT do not teach syntax — they teach statistical data architecture, the discipline that turns infrastructure debt data into a strategic asset. The programme runs on the five-phase IPAT DIOS™ arc, adapted end-to-end to Power BI & Excel.

Phase 1

Assess

Diagnose the current state of infrastructure debt data processing: a baseline of Power BI & Excel proficiency, data silos, manual bottlenecks and reproducibility gaps in the workflows your institution runs today.

Phase 2

Architect

Design standardized, reproducible data structures: consistent naming conventions, master schemas and version-controlled projects in Git, so every infrastructure debt analysis stands on the same interoperable foundation.

Phase 3

Automate

Replace manual, error-prone steps with automated pipelines: ingest, clean and transform infrastructure debt data with Power Query, Power Pivot and DAX, and automate with scheduled Power Query refreshes and DAX measures the routine reporting that consumes weeks of analyst time.

Phase 4

Analyze

Create decision intelligence: cross-tabulation with proper variance estimation, time-series visualization, geospatial mapping and predictive modelling — applied to realistic, anonymized infrastructure debt data.

Phase 5

Accelerate

Build for what is next: AI-ready datasets, machine learning for imputation and estimation, and executive Power BI dashboards that put infrastructure debt intelligence directly in decision-makers’ hands.

Day 5 · The Capstone

What will you change when you return to work?

Produce a digital finance transformation strategy for your institution: where to play, what to own, which partnerships, and the regulatory posture required.

You leave with: Digital Finance Transformation Strategy

Methodology

Frameworks you will master

IPAT-proprietary methodology
  • • IPAT DIOS™ Framework
  • • IPAT Decision Intelligence Framework™
  • • IPAT Transformation Architecture™
Established practice you will apply
  • • Value-chain decomposition
  • • Risk-adjusted performance measurement (RAROC)
  • • Basel-aligned capital and liquidity concepts

Cohorts

Upcoming cohorts

New dates are being scheduled

Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.

Register your interest
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