Quant & Data Analytics Intern

Cboe Global Markets•Chicago, IL
•$22 - $42•Hybrid

About The Position

Building trusted markets — powered by our people. At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. Cboe interns work with a variety of staff across multiple departments and have the opportunity to put their skills to work in their field of interest, while learning about Exchange technology and operations through our robust Options Institute courses. The three main foundational pillars of our internship program are: develop, educate and network. We want to ensure each of our interns receive a real-world working experience that encourages academic, professional and personal growth. Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment. Our interns will be working 5 days in office per week at one of our state-of-the-art offices in Chicago, Kansas City, and New York City. To be eligible for this internship, applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year. Our internship program runs from June to August and you will wrap up your internship with a final presentation and retreat. Visit our student page for more information about our internship program! The Cboe Quantitative Risk Analyst & Data Analytics intern. The Quantitative Risk Analyst & Data Analyst Intern’s at Cboe will assist members of the various groups across Cboe with their innovations and risk management programs.

Requirements

  • Should be currently a rising senior in their Bachelors for the Data Analyst roles and second year in a Master’s program for the Quant roles in Financing Mathematics, Financial Engineering, Computer Science, or related field and should not be scheduled to graduate before December of the year in which the internship takes place.
  • Proficiency in SQL.
  • Proficiency in programming languages such as Python.
  • Strong communication skills and analytical skills.
  • Able to work on multiple assignments and prioritize initiatives.
  • Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Nice To Haves

  • Experience with github for checking in and checking out code, creating pull requests

Responsibilities

  • Assist the team with quantitative analysis of historical market data as well as portfolios and margin requirements to determine scope for improvements to the margin model. This will give interns an opportunity to utilize programing and quantitative skills on real world data and impact on Cboe products.
  • Create (or improve) reports using tools such as Python, Power BI or other tools available within the organization. The intern will have opportunities to utilize tools that we widely used for creating reports and will get opportunities to understand how to design impactful analytics and reports.
  • Assist in documentation of risk management process and reports which would prepare interns with necessary skills for technical roles in corporate setting.
  • Support daily monitoring efforts and document observations when exceptions are noted.
  • Have the opportunity to design additional analysis and/or monitoring tools to assist in the clearinghouse’s risk management efforts.

Benefits

  • Competitive compensation
  • Flexible, hybrid work environment, 5 days in office.
  • 2:1 401(k) match, up to 8% match immediately upon hire.
  • Daily complimentary in-office lunch from local restaurants
  • Endless free coffee and snacks to fuel your workday
  • Monthly in office networking events and happy hours
  • Associate Resource Groups (ARGs) and affinity groups for support and community building
  • paid sick time
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