In Quant Innovations you'll usually provide engines that collect the required models, calibrate them and run methods solving them adequately.
A kingdom for a powerful computation engine
They may be built in a multi paradigm programming style, they may be multi language, inherently parallel and platform agnostic…you've chosen the mathematics carefully, selecting the most advanced schemes solving Stochastic or Partial Differential Equations, Monte Carlo Simulators…
They may implement a high-level domain specific programming language that unleashes the power of this engines.
A kingdom for an insightful front-end
But sometimes it shall just run hidden in the background - manipulated by an intuitive, self explaining front-end. A front-end that explains complex concepts to non experts. An interface the keeps it simple, an interface that uses dynamic visualization and offers attractive and explanatory interaction pattens…
A reference for a great combination: Investment Advisory
UnRiskAlpha helps investment advisors leverage their live advice by risk-informed portfolio analytics and simulation.
Its front-end runs on tablet computers and it's using the art of interface building. Certain intuitive actions call the UnRisk instrument valuation, Value at Risk, and value adjustment and margining engines calculating and presenting information.
Yes, it's an art to design such an interface and link it to an engine that may need to perform millions of single evaluations to transform them into insight for better investment decisions.
This smart maths + arts design principle is beneficial for a variety of cross-sectoral innovations…usually of the realistic, real-time, documentary, multi-flow, process and risk control by valuation and data factory, types (in my The Innovation Mesh scheme...devoted to users, like process, manufacturing or financial managers who need insight for better decisions.