CME Group Market Regulation - Data Science Internship - Summer 2018 in Chicago, Illinois
CME Group: Where Futures Are Made
CME Group (www.cmegroup.com) 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. With 2,500 employees located around the world, 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.
CME Group is currently looking for a Market Regulation Data Science summer intern.
This candidate will assist the Market Regulation Data Science team on day-to-day activities in support of data analysis and modeling. The Data Science team is responsible for developing methods to effectively monitor CME Group derivatives markets and detect rule violations in these markets.
Principal Accountabilities: Analyze large sets of transactional data using statistics and programing languages (R, SQL, Python) to provide insights from a regulatory perspective Develop data preparation routines in a procedural language Understand and articulate the basics of concepts such as Regression, Logistic Regression and Clustering Analysis to a non-technical audience Collaborate with various members of the Department on requirements to refine the projects goals, scope and timelines Develop, assess, and validate models to be used by the Department Design and implement creative approaches to predictive modeling problems Acquire any specialized domain knowledge required to be more effective in all required activities
Skills / Software Requirements: Must be experienced with SQL, Python, R, and Excel Experience with Tableau is preferred
Education: Must be currently enrolled in a master's programs at an accredited university, studying Data Science, Analytics, Statistics, Mathematics, Computer Science or related fields.
Typical work hours are 8:30 AM - 5:30 PM Monday to Friday in the Chicago office. Must commit to three months of work.