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Banking regulatory risk applications built on quant-risk-engine.
Covers IRRBB EVE/NII SOT, FRTB SA GIRR, CSRBB, credit risk IRB,
and liquidity risk (LCR, NSFR, stress testing, ILAAP).
The library at quant-risk-engine handles all curve construction,
instrument pricing, and model simulation. This repo applies
that infrastructure to regulatory and internal risk frameworks.
No pricing logic lives here — only domain application.
Stack
Python 3.13
quant-risk-engine (local editable install)
QuantLib via quant-risk-engine
scipy (norm.cdf/ppf for IRB capital formula)
How we work together
Do not make changes without checking with me first.
Read the ticket before touching anything.
Explain your understanding and proposed approach.
Wait for go-ahead before writing code.
One logical step at a time.
Explain what you did and the regulatory reasoning.
Commit message format: BKR-NNN: short description
Things never to do without explicit permission
Modify or delete passing tests
Touch notebook files unless the task says so
Introduce pricing logic — that belongs in quant-risk-engine
Introduce new dependencies without flagging first
Suggest or generate a commit directly to main
Regulatory context
Regulation
Where it matters
EBA/RTS/2022/10
IRRBB EVE SOT 15%, NII SOT 5%
CRR3 Art. 325
FRTB SA GIRR delta/vega/curvature, prescribed vertices