The future of machine learning in risk modelling
An integrated platform for model delivery that allows financial institutions to make smarter decisions with machine learning through a new way of exploiting analytics. Our model factory involves data scientists, and business and risk experts.
A managed services solution
Zen Risk enables streamlined, tailored and compliant end-to-end model design
Accurately measure and control risk, including capital and provisions as well as reduce model risk.
The hybrid approach ensures interoperability with any bank’s existing model framework or decision systems.
Our modellers are empowered and can focus on business analysis.
Our solution is the result of the convergence between human and artificial intelligence.
As Deloitte, we are a trusted third party, and have a history of long term knowledge of risk management in banking.
Our clients believe in us
“It is possible to identify simple business rules and improve the predictive power of the model.”– Head of Credit Risk Modelling, Tier 1 Bank
“Random Forest, Gradient Boosting or Stacked GBM techniques allow us to significantly improve the model's performance compared to classical models.”– Head of Credit Risk Modelling, Tier 1 Bank
The underlying magic
Sur le même sujet
Machine learning and Credit Risk: a suitable marriage?
Using Random Forest for Credit risk models
Model Risk Management
Driving the value in modelling