About Me

Daniela Scidá
Financial Economist - Manager Quantitative Supervision & Research
Federal Reserve Bank of Richmond

LinkLinkedInLink

I am a Manager and Financial Economist in the Quantitative Supervision & Research (QSR) division of the Federal Reserve Bank of Richmond. 

My research interests lie in the areas of applied econometrics, time series methods, network analysis, banking, financial stability, and NLP. I recently became interested in leveraging textual methods for the analysis of financial networks to study interconnectedness and its potential implications for financial stability.

Supervisory work

I currently lead a supervisory innovation project that leverages Natural Language Processing (NLP) methods. Previously, I served as part of the leadership team for the Pre-Prevision Net Revenue (PPNR) modeling team of the Federal Reserve System Stress Testing program. My supervisory experience includes model development and forecasting under stress conditions, as well as examination from participation in the CCAR program and climate scenario analysis from participation in the Fed's Climate Scenario Analysis (CSA) Pilot. I served as coordinator of the QSR Seminars and Brown Bags series for many years. I currently manage and mentor our Research Assistants team.

Education background

Before joining the Richmond Fed in 2016, I completed my Ph.D. in Economics and a Master in Economics at Brown University. I received a master’s degree in Economics and Finance from Centro de Estudios Monetarios y Financieros (CEMFI), Spain, and a Bachelor’s degree in Economics from Universidad Nacional de Tucumán, Argentina. I am originally from Tucumán, a small province in the north of Argentina.