Finance

The good, the bad and the ugly: What I learned while consulting across the business as a data scientist

rstudio::conf 2020

The good, the bad and the ugly: What I learned while consulting across the business as a data scientist

January 30, 2020

A collection of data science stories about current problems that data scientists might face while working in academia, industry, and government.

Rpanda trading simulation - from an idea to a multi-user shiny app

rstudio::conf 2020

Rpanda trading simulation - from an idea to a multi-user shiny app

January 30, 2020

As energy trading professionals working in the industry, we had developed insights around how to make risk/reward market calls, and what skills make someone an exceptional commodities trader.

Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents

rstudio::conf 2020

Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents

January 30, 2020

China has been experiencing rapid growth over the last decade due to economically friendly reforms and a growing skilled and young population.

15 Years of R in Quantitative Finance

rstudio::conf 2020

15 Years of R in Quantitative Finance

January 30, 2020

Use of R in the investment industry is established and growing. This talk will discuss changes seen in 15 years of practice within asset management firms.