The Quant Innovation Mesh 2.1

Hopefully further improved by simplification.

In this macro view at a quant innovation I've reviewed the objects of desire, external and internal type and value issues and came to the conclusion: it's all about Big Wants and Needs. I want to point out that wants are conscious, giving you freedom, and needs are unconscious, with the little danger of binding you a little too much.

However, wants and needs build the spine of your innovation. Needs are loud. And some wants become needs when previous needs are met. There are macro and micro wants and needs…on the micro level the needs are the spinal cord the fundamental requirements and technological foundations in  quant innovations.

For UnRisk Capital Manager

The Type - Realistic, Real-Time, Documentary, MultiFlow, Financial Risk Management, Market Risk, Open Valuation and Data Management Factory

Big Wants - Arming David, conserving capital, setting the stage for successful risk management, leveraging technology, building quant finance skills

Needs - Fundamental quant work and automated risk them expose Risky Horrors and manage them

Point of View Fund management 

Obligatory tasks Manage risk in a regulation and business framework  1. Model validation and robust model calibration 2. Portfolio across market behavior simulation 3. VaR calculations, Tail risk analysis…4. Portfolio re-engineering and -construction…5. Contribution to enterprise risk management 

Preprocessing constructors users, instruments, models, methods, market data, valuation regimes
Preprocessing progressive problems Model, method and calibration risk (technological risk) may add toxicity to instruments and become horrible in interplay
Preprocessing solutions Change valuation regimes as result of model-method scenarios

Processing constructors portfolios, scenarios, simulations…simulation regimes 
Processing progressive problems risk analytics methodologies selection  massive valuation and data management requirements...A portfolio shows unexpected riskiness with respect to certain market behavior, but it's difficult to quantify the influence of instruments, risk factors, observed periods, correlations…     
Processing solutions Comprehensive tests checking such influences…and help re-engineering the portfolio

Postprocessing constructors further, more global risk insight and reporting framework, like for cross business units, market segments or territory analytics
Postprocessing progressive problems Further analytics needs additional data sets and consequently algorithmic treatment...Additional data may be uninformative related to the desired objectives and attribute more to noise than dependencies...     
Postprocessing solutions Data driven techniques or dynamic visualization to curate these data sets

Conventions Valuation and data management are twins. It's built multi-model and multi-method. It's a high performance system. It comes with a web front-end. It comes with the UnRisk development system.

Core Technologies needed - UnRisk CM is built of the UnRisk Technology Stack that needs the Wolfram Technology Stack. UnRisk Financial language is an extension of the Wolfram Language implemented in UnRisk Engines (atop Wolfram Engines) 

UnRisk CM is built as integration of the following technologies: UnRisk FACTORY a web based risk management platform, the Value at Risk Universe and UnRisk-Q the programming power behind UnRisk. Its used by capital management firms, asset management groups of insurances

They all enjoy its automated task processing, extendability, transparency, robustnessintuitive useThat it's ultrafast is seen as requirement. And they are pleased about the level of interactions and their indispensable role in smart decision making…