Data Science for Energy Risk Managers Houston

This innovative and practical two day course is designed to introduce risk managers and trading professionals to the basics of data science. Focus will be placed on creating, visualizing and testing a trading strategy or risk management analysis with the R programming language.


Data Science for Energy Risk Managers
& Trading Professionals

6th-7th November, Houston

View the Agenda        Pricing & Registration

Join us in Houston for this innovative and practical two day training course, led by Jonathan Regenstein, Director of Financial Services, RStudio and Nima Safaian, Head of Trading Analytics, Cenovus Energy.

The course has been designed specifically for energy risk managers and trading professionals who are required to understand the basics of data science. This course is designed to be hands-on and interactive which means that the participants are expected follow the course material and try the examples.

What Will You Learn?
  • Introduction to the data science R ecosystem  
  • Learn about real life data science examples for risk managers and trading analyst
  • Exploratory and explanatory visualization for risk managers  
  • Creating and deploying interactive reports and apps using Shiny
  • Basics of Machine Learning for risk managers
  • Advance concepts in Deep Learning and Analytics using big datasets
  • Get familiar with R/Shiny open source echo system and RStudio IDE
  • Learn about financial APIs and how to use interface with them
  • Learn tidyverse and other data wrangling tools
  • Learn about approaches to data visualizations
  • Learn about data modelling and Machine Learning
  • Learn about developing automated and interactive analytics
Who Should Attend

Relevant departments may include but are not limited to:

  • Risk Management
  • Quantitative Analysis
  • Trading Analysis
  • Compliance
  • Traders
  • Energy
  • Oil
  • Gas

Jonathan Regenstein

Director of Financial Services

RStudio, Inc.

Jonathan is the Director of Financial Services practice at RStudio and the author of Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Management (CRC Press). He writes the Reproducible Finance blog series for RStudio and his code/apps can be seen at Prior to joining RStudio, he worked at JP Morgan. He studied international relations at Harvard University and did graduate work in political economy at Emory University

Nima Safaian

Head of Trading Analytics

Cenovus Energy

Nima Safaian is the head of trading analytics with Cenovus Energy in Calgary, Canada. In this role, he applies Data Science and Statistical Learning methodologies to get better insights on risk/reward opportunities. Previously Nima worked as a risk manager with Scotiabank and  BP's Integrated Supply and Trading Group. Nima is an active member of GARP Calgary where he leads seminar/workshop series on the practical applications of Big Data and Machine Learning to trading and risk analytics. Nima holds degrees in nuclear engineering and an MBA.

06 November 2018
2018-11-06 09:00:00 +0000