Overview
Natalia R. serves as Data Science Vice President at Eon [1]. R. holds a Master's degree in Computer Science from Belarusian State University of Informatics and Radioelectronics [10], along with a Certificate in Natural Language Processing from University of Washington [8] and non-degree study in Financial Mathematics at New York University [9]. Prior to joining Eon in January 2020 [3], R. worked as ML/NLP Data Scientist and Director at FINLAB.AI from March 2017 to January 2021 [4], as Risk Quant and Data Scientist at Ambac from October 2014 to December 2017 [5], and as Data Scientist and Quant Developer at Quantile Corp from August 2012 to October 2014 [6]. R. spent six years at Morgan Stanley as Desk Quant in Interest Rate Derivatives, reaching the rank of Executive Director [7]. R. brings over 20 years of quantitative modeling experience from Wall Street into the healthcare domain, with particular interest in computational linguistics and knowledge representation [2].
Profile introduction
A transplant from Wall Street, I bring over 20 years of Quantitative Modeling experience into the Healthcare domain. With a special interest in Computational Linguistics and Knowledge representation, I am passionate about creating AI solutions that improve patient outcomes, and am dedicated to building the Data Science department that builds the best models in the industry.
Career history
- Data Science Vice PresidentJan 2020 to presentEon
- ML/NLP Data Scientist, DirectorMar 2017 to Jan 2021FINLAB.AI
- Risk Quant/Data Scientist, First Vice PresidentOct 2014 to Dec 2017Ambac
- Data Scientist/Quant Developer, DirectorAug 2012 to Oct 2014Quantile Corp
- Desk Quant in Interest Rate Derivatives, Executive DirectorJun 2006 to Apr 2012Morgan Stanley
Education
Certificate, Natural Language ProcessingUniversity of Washington
Non-degree student, Financial MathematicsNew York University
- Master's degree, Computer ScienceBelarusian State University of Informatics and Radioelectronics
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