IFRS 9 Solution

Estimator 9 — IFRS 9 ECL Automation

End-to-end Expected Credit Loss (ECL) platform for IFRS 9 compliance — audited by Big 4 firms and deployed across 56+ banks and financial institutions globally.

Estimator 9, developed by FineIT Private Limited (est. 2001), is an audit-ready IFRS 9 Expected Credit Loss platform deployed in 56+ institutions across 40+ countries. FineIT serves as a quantitative advisor to the IASB on Predictive Analytics and is a member institution of the BCBS. Estimator 9 has achieved 200+ Big 4 audit approvals with a 100% approval rate and offers a 14-day implementation guarantee.

70%
Faster ECL runs
56+
Institutions
40+
Countries
100%
Approval rate

Core ECL Calculation Engine

Comprehensive credit risk modeling across all three stages

ECL = DF(tᵢ) × PD(tᵢ) × LGD(tᵢ) × EAD(tᵢ)
DF(tᵢ)
Discount Factor
Time-value adjustment using effective interest rate
PD(tᵢ)
Probability of Default
Point-in-time default probability at time i
LGD(tᵢ)
Loss Given Default
Expected loss severity post-default
EAD(tᵢ)
Exposure at Default
Outstanding exposure at default event

Core Capabilities

Six pillars of quantitative credit risk modeling

Portfolio Segmentation

Discriminant analysis, statistical pooling

Advanced statistical techniques to segment portfolios by risk characteristics, ensuring homogeneous pools for accurate ECL estimation.

Z = β₀ + β₁X₁ + β₂X₂ + ... + βₙXₙ

Macro-economic Scenario Modeling

MEVs identification, MES simulations

PIT PD & LGD Estimation

Term structures, collateralized logic

Bucket-wise EAD Estimation

DPD-based exposure mapping

GPPC-compliant Disclosures

Audit-ready exports, committee artifacts

Stress Testing & Validation

Parametric runs, anomaly detection

Technical Capabilities

Automated SICR (Significant Increase in Credit Risk) identification
Three-stage allocation with transfer tracking
Lifetime vs. 12-month ECL calculation
Credit-impaired asset identification (Stage 3)
Modified assets and forbearance tracking
Purchased or originated credit-impaired (POCI) assets
Write-off and recovery management
Forward-looking information integration

Integrations

Core Banking Systems
Direct API integration
General Ledger
Automated journal entries
AARO Systems
Disclosure automation
Data Warehouses
ETL pipelines
Risk Platforms
Bi-directional sync
Audit Tools
Evidence trail export

Three-Stage ECL Model

Automated stage allocation with SICR detection

Stage 1

Performing Assets

12-month ECL
No SICR since initial recognition
Low credit risk
12-month forward-looking PD
Stage 2

Underperforming Assets

Lifetime ECL
SICR identified
Not credit-impaired
Lifetime forward-looking PD
Stage 3

Credit-Impaired Assets

Lifetime ECL
Objective evidence of impairment
90+ days past due
Individual assessment

SICR Indicators

30+ days past due
Downgrade in credit rating
Forbearance measures
Significant changes in collateral
Why Estimator 9

Estimator 9 vs Legacy IFRS 9 Platforms

Banks evaluating Estimator 9 alongside SAS Risk, Moody's, Wolters Kluwer and Provenir consistently cite these six differentiators. See the full head-to-head on the comparison page.

14-day deployment guarantee

Cloud-native architecture means production-ready ECL in 2 weeks, not 6–18 months. Legacy on-prem platforms typically require multi-quarter consulting engagements.

100% formula transparency

Every PD, LGD, EAD and stage classification step is visible and auditable. Closed black-box engines often cannot be defended in regulator inspection.

15+ regulators pre-configured

Templates for SBP, CBUAE, SAMA, NRB, MAS, BB, CBK, BoT and more — outputs already match each supervisor’s reporting format on day one.

Multi-GAAP from one engine

IFRS 9, SFRS(I) 9 (Singapore), and US CECL run on the same calculation core — reconcile group and subsidiary reporting without dual-stack maintenance.

Islamic banking & Takaful support

Shariah-compliant ECL workflows for Murabaha, Ijara, Sukuk and Wakalah portfolios — used by GCC, Pakistan, Bangladesh and Malaysia Islamic banks.

Big 4 first-time approval rate

200+ Big 4 audit approvals (KPMG, PwC, Deloitte, EY) at a 100% first-time approval rate on IFRS 9 model and ECL output reviews.

Methodology Authors

Built by Quantitative Practitioners

Estimator 9's ECL methodology, validation framework and supervisory workflows are designed and maintained by named quantitative experts with regulatory and Big 4 audit track records.

DS

Dr. Shahbaz Khan

Senior Director, Predictive Modeling

Doctoral research in econometric credit risk modeling. 18+ years building PD, LGD and EAD models reviewed by SBP, CBUAE and Big 4 audit teams.

IFRS 9 ECLPD modelingCECLPredictive ModelingMacroeconomic Scenario Analysis
DA

Dr. Adnan Khan

Founder & Chief Risk Architect

Quantitative advisor to the IASB on Predictive Analytics. Founding member, BCBS-aligned risk methodology working group. 25+ years across model design and regulatory consultations.

IFRS 9Basel IIIBasel IVModel ValidationQuantitative Finance

Audited by KPMG, PwC, Deloitte & EY

200+ Big 4 audit approvals across 56+ institutions in 40+ countries — 100% first-time approval rate on IFRS 9 model and ECL output reviews

Big 4 Auditor
KPMG
Big 4 Auditor
PwC
Big 4 Auditor
Deloitte
Big 4 Auditor
Ernst & Young
12+
Banks under SBP
Pakistan
8+
Banks under NRB
Nepal
6+
Banks under CBUAE
UAE
7+
Banks under CBK
Kenya
12+
Banks under Bangladesh Bank
Bangladesh
5+
Banks under SAMA
KSA
4+
Banks under BoT
Tanzania
40+
Total countries served
Worldwide
Institutional segments served
Commercial banks (Class A)Development banks (Class B)Finance companies (Class C)Islamic banksMicrofinance institutionsDevelopment Finance Institutions (DFIs)Qualifying Full Banks (QFBs)Foreign bank branchesInsurance investment portfolios
Big 4 audit approval
Central bank validated
GPPC-compliant
Continuous monitoring

ECL Software - IFRS 9 Expected Credit Loss Automation

Leading ECL software for IFRS 9 compliance. Complete Expected Credit Loss calculation platform with ECL automation, PD/LGD/EAD modeling, stage migration & regulatory compliance. Audit-ready ECL solution for banks. FineIT (est. 2001) is a quantitative advisor to the IASB and BCBS member. 200+ Big 4 audit approvals, 100% approval rate, 14-day deployment, 150+ institutions in 40+ countries.

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