VaR and tail-risk methods
Run inside a governed workspace with model identity, inputs, execution state and evidence preserved.
LargeQuant Omni / Risk
Omni Risk
Model risk as explicit quantitative state: distributions, scenarios, dependencies, constraints and observed outcomes.
Risk
Risk surfaces and stress pathsScenario and sensitivity analysisModel validation and benchmarkingGoverned risk evidenceWhat you can do
From quantitative question to governed outcome.
Exposure, uncertainty and stress becomes part of the same evidence, benchmark and execution fabric used throughout LargeQuant.
01Risk surfaces and stress paths
02Scenario and sensitivity analysis
03Model validation and benchmarking
04Governed risk evidence
Methods & systems
Explicit models, measurable execution.
LargeQuant keeps the numerical method and execution evidence visible instead of collapsing the work into opaque generated text.
Covariance and dependency models
Run inside a governed workspace with model identity, inputs, execution state and evidence preserved.
Monte Carlo simulation
Run inside a governed workspace with model identity, inputs, execution state and evidence preserved.
Calibration and backtesting
Run inside a governed workspace with model identity, inputs, execution state and evidence preserved.
One platform
Omni Risk is not a separate subscription.
Finance, Risk, Treasury, Physics, Molecular, Biology and Scientific Discovery are quantitative worlds inside LargeQuant Omni. Your plan determines capacity, automation, API rights, support and included Quant Balance.
AccessComputationInstitutional controlOutcomes
Explore other worlds
Move across domains without leaving Omni.
Omni Finance
Markets, portfolios and quantitative finance
→Omni Treasury
Liquidity, funding and balance-sheet intelligence
→Omni Physics
Scientific modelling and simulation
→Omni Molecular
Molecular systems and computational discovery
→Omni Biology
Biological systems and multi-omic analysis
→Scientific Discovery
Open-ended quantitative research
→