Quant & Data Analytics Intern

Cboe Global Markets provides financial infrastructure, trading, clearing, and investment solutions to market participants worldwide. The Quant & Data Analytics Intern will support quantitative analysis, portfolio and margin analysis, reporting, risk management documentation, daily monitoring, and development of analytical tools for clearinghouse risk management efforts.

What you'll do:

• 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

What they're looking for:

• Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment
• Applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year
• 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
• Experience with github for checking in and checking out code, creating pull requests

Benefits:

• 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
• 401 (k) with a generous company match
• Paid sick time
• Leadership programs and career development initiatives