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Basel 3.1 Credit Risk RWA Calculator compliant with PRA PS9/24

Project description

[!IMPORTANT] This package is still in active development and is not production ready - release 1.0.0 will confirm when ready for current CRR and 2.0.0 for Basel 3.1

UK Credit Risk (CR) & Counterparty Credit Risk (CCR) RWA Calculator

Documentation

A high-performance Risk-Weighted Assets (RWA) calculator for UK CR & CCR, supporting both current regulations and future Basel 3.1 implementation. Built with Python using Polars for vectorized performance.

Documentation: https://OpenAfterHours.club/rwa_calculator/

Installation

Install using pip

pip install rwa-calc

Or with uv

uv add rwa-calc

With UI support (web-based calculator interface)

uv add rwa-calc[ui]

Optional Dependencies

Extra Description
ui Interactive web UI via Marimo
dev Development tools (pytest, ruff, ty, zensical)
all All optional dependencies

Quick Start

from datetime import date
from rwa_calc.api import CreditRiskCalc

response = CreditRiskCalc(
    data_path="/path/to/data",
    framework="CRR",
    reporting_date=date(2026, 12, 31),
    permission_mode="irb",
).calculate()

if response.success:
    print(f"Total RWA: {response.summary.total_rwa:,.0f}")
    df = response.collect_results()

IRB Mode — set permission_mode="irb" and provide a model_permissions input table to route exposures to FIRB, AIRB, or slotting based on per-model approvals. Exposures without a matching model permission fall back to SA. See the Data Model docs for the model permissions schema.

Interactive UI — web-based calculator interface:

pip install rwa-calc[ui]
rwa-calc-ui
# Open http://localhost:8000 in your browser

Regulatory Scope

This calculator supports two regulatory regimes:

Regime Effective Period UK Implementation Status
CRR (Basel 3.0) Until 31 December 2026 UK CRR (EU 575/2013 as onshored) Active
Basel 3.1 From 1 January 2027 PRA PS1/26 Implemented

A configuration toggle allows switching between calculation modes for:

  • Current regulatory reporting under UK CRR
  • Impact analysis and parallel running ahead of Basel 3.1 go-live
  • Seamless transition when Basel 3.1 becomes effective

Key Features

  • Dual-Framework Support: Single codebase for CRR and Basel 3.1 with UK-specific deviations
  • High Performance: Polars LazyFrames for vectorized calculations (50-100x improvement over row iteration)
  • Complete Coverage: Standardised (SA), IRB (F-IRB & A-IRB), and Slotting approaches
  • Credit Risk Mitigation: Collateral, guarantees, and provisions with RWA-optimized allocation
  • Complex Hierarchies: Multi-level counterparty and facility hierarchy support
  • Audit Trail: Full calculation transparency for regulatory review
  • Framework Comparison: Side-by-side CRR vs Basel 3.1 impact analysis
  • COREP Output: Export results to COREP regulatory templates
  • Multiple Export Formats: Parquet, CSV, Excel, and COREP

Supported Approaches

Approach Description
Standardised (SA) Risk weights based on external ratings and exposure characteristics
Foundation IRB (F-IRB) Bank-estimated PD, supervisory LGD
Advanced IRB (A-IRB) Bank-estimated PD, LGD, and EAD
Slotting Category-based approach for specialised lending

Supported Exposure Classes

Sovereign / Central Bank, Institution, Corporate, Corporate SME, PSE, MDB, RGLA, Retail Mortgage, Retail QRRE, Retail Other, Specialised Lending, Equity, Covered Bond, Residential Mortgage, Commercial Mortgage (Basel 3.1 RE split), High Risk, Defaulted, Other

Documentation

Comprehensive documentation is available at OpenAfterHours.club/rwa_calculator

Section Description
Getting Started Installation and first calculation
User Guide Regulatory frameworks, methodology, exposure classes
Architecture System design and pipeline
Data Model Input schemas and validation
API Reference Complete technical documentation
Development Testing, benchmarks, contributing
Plans Development roadmap and status

Running Tests

Test fixtures are parquet files generated from Python builders and are not checked into the repo (they are gitignored). Generate them once before running the test suite for the first time, and again whenever a fixture builder under tests/fixtures/ changes:

# Generate all test fixtures (parquet output, 8 groups)
uv run python tests/fixtures/generate_all.py
# Run all tests
uv run pytest -v

# Run with coverage
uv run pytest --cov=src/rwa_calc

# Run benchmarks (10K + 100K, excludes 1M/10M)
uv run pytest tests/benchmarks/ -m "benchmark and not slow" -k "not 1m" -o "addopts=" --benchmark-only -v

Test Results: ~5,500 tests (~4,675 unit + ~500 acceptance + ~165 contract + ~145 integration + ~30 benchmark)

License

Apache-2.0 license

References

Current Regulations (CRR / Basel 3.0)

Basel 3.1 Implementation (January 2027)

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