MODEL GOVERNANCE SUITE
The one tool you need to govern your model risk management.
ENABLE HIGHLY QUALIFIED PEOPLE TO FOCUS
ON THEIR EXPERTISE DOMAIN
We provide you with the suite of software tools to govern risk of much higher number of models without increasing the team size.
Everything right at your fingertips
Thanks to central model repository you can find out quickly which models are active, most important, closest to a deadline, or any other criteria. Have model attributes and data, development and validation data, workflows, documentation, and all communication related to a particular model in one place.
Stop data collection, start data interpretation
Make access to all kind of data related to a model a commodity. Simplify data collection, storage, and analysis to their core. Upload data just once. Or go even further – don't upload them manually at all. Use the power of ETL processes instead.
Automation and monitoring
Automate various aspects of your model governance process. Save significant costs, prevent errors caused by monkey work. Define your monitoring strategy to increase your confidence in your model quality. Connect to your existing systems through REST API.
Use Model Governance Suite since day one
Let us help you! We're not only software engineers, but we've been in risk management business for more than 10 years. Focus on your business and we take care of your "workhorse". We set MGS up for you by our standard kick-off procedures.
INVEST YOUR TIME WISELY TO MAKE YOUR MODELS BETTER
Manage much higher number of models without increasing team size.
Your operational cockpit
Get instant insight into the current state of your entire model portfolio, crucial models, and deadlines. Display predefined dashboards on one click and get an overview of your portfolio.
User role management
Grant access to everybody from your organization involved by using and setting various roles. Open your model governance process and let anybody contribute.
Get full control of your data security.
Decentralized / distributed
Access the application via a web browser. It is also optimized for mobile devices. Develop and govern a high number of models with the same amount of experts.
Define your tiering methodology.
Scan your portfolio automatically and continuously reclassify risk score of all your models.
Get the maximum of your team by focusing on the validation of the highest risk tier models.
Save time by composing documentation using predefined building blocks. Don't search hundreds of pages of model documentation to find out what has changed in new versions.
Increase transparency by tracking all changes and activities. Provide information to internal teams as well as for audit purposes. View and visualize the history of all attribute's changes.
Formalized validation process
Be in control of the life cycle state of your model portfolio at any time. Remove any "fuzziness" and always know what step to do next. Connect tasks to your experts and have a constant overview. Delegate your experts directly and keep all the communication in one searchable place.
Analytical tools you know on your fingertips
Manage, analyze, and develop your models – all from one place. Get the power of R or Python on your side in one click without any need to struggle with data transfer.
Model source code management
Bring GitHub style to your model development. Make your model validation more transparent by visualizing differences between model revisions.
Use Model Governance Suite since day one! We set it up for you by our standard kick-off procedures.
Let us help you! We've been in risk management business for more than 10 years. Based on our experience we know how to do things "smart" and how to get you where you want to be. Define new features and let us deliver a bespoke solution perfectly fulfilling your requirements and gaining you a competitive advantage.
WHAT HAPPENS WHEN MODEL RISK MANAGEMENT GOES WRONG?
Reduce the risk connected with model risk management to prevent significant financial losses.
2012, $440 million loss
A "significant error" in the computer code for one of its investment models. [CNN, 2012]
2012, $6.2 billion loss
"The role of Model Risk in this scandal [...] is important in that at least part of the impetus to take huge positions was due to incorrect risk modeling." [McConnell, 2013]
2009, $217 Million loss
Undetected error in model source code.
[U.S. Securities and Exchange Commission, 2011]