Richard is the Director of the Quantitative Research Group at Moody's Analytics, responsible for numerous analytical productivity and data quality initiatives. He designs, implements, and operates systems that apply lean manufacturing principles to data production. Prior to Moody’s Analytics, he was a consultant with McKinsey. He has a PhD and an MS in aerospace engineering from Georgia Tech, and an SB in aeronautics and astronautics from MIT.
Expertise
TOPICS

Scenario Generation: Mathematical model simulating possible paths of economic and financial market variables.

Published Work
Article

When Good Data Happen to Good People: Boosting Productivity with High-Quality Data

In this article, we show the mechanisms through which data quality and productivity interact, and how investments in data quality can offer productivity gains.

July 2017
Article

When Good Data Happen to Good People: Boosting Productivity with High-Quality Data

With ever-increasing requirements for a higher quantity and quality of analytical output, the need to boost productivity in risk management has become more acute. In pursuing these productivity gains, we have observed that investments in data quality can offer dramatic improvements and typically pay for themselves.

June 2017