Quant Risk Intern

About the Role

The Quantitative Risk Intern will work in a team that develops and evaluates risk models for counterparty exposures, including pricing, value-at-risk, stress testing, liquidity, and regulatory capital. This role involves conducting empirical studies, making recommendations on margin levels, and ensuring that models are up-to-date with proven theories in the field.

As a Quantitative Risk Intern, you will work closely with the team to enhance existing risk models and design/prototype new models across different asset classes, such as OTC and Futures. You will also be responsible for presenting results to senior management and/or risk committees.

Key Responsibilities

• Conduct empirical studies and make recommendations on margin levels, modeling issues, and other risk-mitigation measures.
• Ensure that the model is up-to-date with the proven theories in the field.
• Deploy, test, and continuously improve risk models within the production infrastructure of CME.
• Present results to senior management and/or risk committees.
• Work on a team that enhances existing risk models and designs/prototypes new models across different asset classes.
• Collaborate with the team to ensure that risk models are accurate and reliable.

Skills & Qualifications

• Experience with programming languages such as C++, C#, R, VBA, and SQL.
• Bachelor's degree in a technical discipline, with a Master's degree preferred in Math Finance, Applied Mathematics, Financial Engineering, or Software Engineering.
• Strong analytical and problem-solving skills.
• Ability to work in a team environment and communicate complex ideas effectively.
• Knowledge of risk management principles and practices.

What You'll Learn

As a Quantitative Risk Intern, you will gain hands-on experience in developing and evaluating risk models, working with a team of experts in the field, and presenting results to senior management and/or risk committees. You will also learn about the latest risk management principles and practices, and develop strong analytical and problem-solving skills.

This role offers a unique opportunity to learn from experienced professionals and contribute to the development of risk models that impact markets worldwide.

Resume Tip

When applying for this role, be sure to highlight your experience with programming languages such as C++, C#, R, VBA, and SQL, as well as your knowledge of risk management principles and practices. Emphasize your analytical and problem-solving skills, and your ability to work in a team environment and communicate complex ideas effectively.

Also, be sure to tailor your resume to the specific requirements of the role, and use specific examples to demonstrate your skills and experience.