Getting Smarter About Serving Risk Management Needs

Risk modeling, separation of finance and risk departments become concerns for risk data management

Marc Alvarez, chief data officer, Mizuho Securities

Smarter risk management depends on smarter risk data management and can be achieved by using concepts such as Risk data as a Service (RaaS)—or just Data as a Service (DaaS)—along with risk modeling, a better grasp of relevant quantitative data, and bridging gaps between finance data and risk data within companies, according to data management and modeling executives from several investment firms.

"We see a need for DaaS," said Jennifer Agnes, who recently began a role as managing director, data

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here:

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: