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CME Group

3mo ago

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • London

Requirements

  • Post Graduate Student in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, Operations Research, Economics or similar; studying towards PhD would be a plus
  • Combination of technical/quantitative and business acumen is strongly preferred
  • Strong knowledge and understanding of statistics, probability and machine learning.
  • Strong programming skills in Python (Numpy, SciPy, Pandas, and scikit-learn), R, SQL
  • Experience of data preparation, cleaning, joining, manipulation, analysis in academia, industry, or personal projects
  • Familiarity with one of Business Intelligence and visualization tools such as Tableau, Business Objects, Qlikview, Looker, and PowerBI
  • Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people.
  • Exceptional teamwork skills required. Ability to collaborate and build trusting relationships with business partners and stakeholders.
  • Natural curiosity to understand the world around you and question as needed.
  • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
  • Ability to apply critical thinking and creative problem-solving skills.
  • Attention to details
  • Not be afraid of hard work, proposing new ideas, and doing things smarter.
  • Familiarity with CME Group markets, products, and clients
  • Preferred Qualifications:
  • Familiarity with google cloud platform or other cloud platforms(e.g. AWS or Microsoft Azure) is a plus
  • Experience analyzing unstructured data and text is plus
  • Scripting skills of any one of the major object-oriented programming language is a plus
  • Knowledge of Commodity and Financial Derivatives Markets, especially in futures and options would be a plus

Responsibilities

  • The Data Science Intern role will work across sales, marketing, product, client, and IT divisions to help drive the data utilization and building solution with various business units. In CME, we try new things, fail fast, and ultimately deliver valuable insight through the combination of collaboration, new technology, and machine learning. Analyse patterns and correlations among derivatives products and clients to identify trends customers can benefit from. Brainstorm, design, implement new machine learning and analytical models, and implement internal and external tools and applications

CME Group

CME Group is the world’s leading derivatives marketplace

Finance
Industry
1001-5000
Employees
1848
Founded Year

Mission & Purpose

As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.