I will do credit risk modelling pd with ifrs 9 provisioning

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Pakistán

Hablo Inglés

2 pedidos completados

I am a dedicated researcher and developer with strong experience in mathematics, statistics, and finance. I have worked on projects involving stock price prediction, Monte Carlo simulations, option pr...
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I will build robust IFRS 9 credit risk models, including PD (Probability of Default) modelling and ECL (Expected Credit Loss) provisioning, tailored to your portfolio.

Whether you're a bank, NBFI, fintech, or auditor needing a defensible, regulation-compliant credit risk model, I deliver end-to-end modelling from data preparation to final validated outputs.

What's included in this offering:

PD Modelling

  • Logistic regression / scorecard-based PD models
  • Through-the-cycle (TTC) and Point-in-Time (PIT) PD estimation
  • Segmentation by product, geography, or risk grade

IFRS 9 Staging & SICR

  • Stage 1 / Stage 2 / Stage 3 classification
  • Significant Increase in Credit Risk (SICR) trigger logic
  • 12-month vs lifetime ECL determination

ECL / Provisioning Calculation

  • PD × LGD × EAD framework
  • Forward-looking macroeconomic overlays
  • Multiple scenario weighting (base, upside, downside)

Model Validation & Evaluation

  • Discriminatory power testing (Gini, KS, AUC)
  • Backtesting and calibration checks
  • Sensitivity and stress testing (higher tiers)

Visualization of Results

  • Excel/PowerBI/Python-based visual outputs (based on your preference)

Documentation & Reporting

  • Methodology write-up suitable for auditors.

Tecnología:

Excel

Jupyter Notebook

Power BI

Stata

Tableau

Tipo de análisis:

Análisis cuantitativo

Análisis cualitativo

Experiencia:

Tendencias

Algoritmos

Predicción

Pronóstico

Lenguaje de programación:

Python

R

SQL

Herramientas:

Google Colab

Microsoft excel

Mi porfolio

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