Data Science - Internship - Summer 2020
CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Joining our company gives you the opportunity to make a difference in global financial markets every day, whether you work on our industry-leading technology and risk management services, our benchmark products or in a corporate services area that helps us serve our customers better. We're small enough for you and your contributions to be known. But big enough for your ideas to make an impact. The pace is dynamic, the work is unlike any other firm in the business, and the possibilities are endless. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.
To learn more about what a career at CME Group can offer you, visit us at www.wherefuturesaremade.com .
The Data Science team focuses on qualitative and quantitative analysis related to economic, client and competitive ecosystems in which CME Group operates. Through data science, generating insight, developing tools, and report automation, the team creates competitive advantage to drive better and faster decision making by the firm's senior leaders. We serve the broader units to identify and promote significant market and client opportunities.
Minimum Job Qualifications:
§ Currently enrolled in any major accredited university
§ Major in Computer Science, Information Systems, Computer Engineering, Statistics, or related engineering fields with computer programming experience
§ Fluent in SQL and Python/Java
Preferred Job Qualifications:
§ Analytical skills and the ability to decipher complex business problems
§ Knowledge of git, Linux
§ Solid understanding of object-oriented programming
§ Data visualization skills using Tableau or open source libraries (ggplot2, matplotlib, etc.)
§ Experience with Cloud Computing Technology (Amazon Web Services)
§ Understanding of the commodity and financial derivative markets is preferred