New regulatory requirements, IFRS9/CECL, post-COVID economy and encroaching FinTechs continue to increase pressure on banks’ credit model management, yet even experienced teams take months to develop each model, while generic analytics & AI platforms don’t incorporate risk expertise nor address the bottlenecks in credit risk modelling, leaving banks damaged with high costs, outdated risk estimates and slow time to market.
RISKROBOT™ uniquely streamlines end-to-end to credit risk modelling, combining expert judgment with Explainable AI and automation. Modellers are “super-charged”: modelling and documentation takes minutes instead of weeks, yet they remain fully in control.
RISKROBOT™ has delivered consistent 10x acceleration to Tier 1 banks in multiple use cases.
Portfolio, number of models, success criteria, etc.
The speed, power and efficiency of RISKROBOT™ is unprecedented and transforms how you work with credit models.
Microsoft Azure simplifies and accelerates the integration of RISKROBOT™ into your existing infrastructure, and ensures your teams always have the resources they need. SPIN Analytics used Azure to deliver RISKROBOT™ to multiple clients.
Explore and test RISKROBOT™ ground-breaking analytics, then deploy at scale while keeping your data secure in Azure.
RISKROBOT™ can build new models rapidly when you need them most. Azure provides rapid, seamless availability of all the resources when you need them.
On-board new portfolios easily and deploy RISKROBOT™ at scale across vast networks of models. Azure will ensure transparent, seamless and efficient resource utilization.