Nick Diieso

VP of Risk
Deutsche Bank

Nick Diieso is a Vice President with Deutsche Bank’s global risk management group responsible for 2nd line oversight of risk and control assessment and the ongoing implementation and governance of the 3 Lines of Defense model in the Americas. Previously, Nick was a Vice President and Risk Director with Santander Bank where he was responsible for all data, analytics, governance, and project management related to Risk and Compliance within Santander’s US Commercial book of business (~$40bn). Nick began his career at GE Capital and has served in various financial, strategic, and risk (1st and 2nd Line) capacities and has experience building out advanced analytics, governance, and transverse projects around complex, large-scale business strategy and risk initiatives. Nick graduated with a degree in Finance and Accounting from the John F. Welch College of Business at Sacred Heart University, where he was an honors scholar, and is completing an advanced risk certification with Stanford University.

Check out the incredible speaker line-up to see who will be joining Nick.

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Mastering Data Strategy and Data Quality to Remain Competitive

Saturday, October 7th, 2017

14:15 Chairperson’s Afternoon Address

Interested in demonstrating thought leadership as Chairperson? To find out how to chair this track, contact meg.mcneel@wbresearch.com

14:55 Panel Discussion | Gearing Up to Offer Data and Analytics as a Service to Drive Value

Given the investments in data quality, analytics are becoming of much greater value. Regulations and risk are central to designing systems for performing analytics, but how can you develop systems that will fit your needs from the ground up? How are financial institutions building out infrastructure and processes to provide access to information relevant to users of all skill levels from basic users to analytics power users? How are organizations building services and drawing value from that? How do you get the data to people to support those kinds of services?
Find out:
• Where information is coming from (internally or from clients) and how data is being handled
• What do good analytics look like versus qualitative analytics
• How to determine how deep you want the service and different levels to offer