Roles › Summer Intern Quantitative Risk Management

Chicago, IL

Summer Intern Quantitative Risk Management jobs in Chicago, IL

3 open roles from 1 employer. Checked Oct 6, 2026.

What these openings look like

All 3 are at Options Clearing Corporation. Every one publishes a pay range, and they run $25.00 an hour. Every posting is full time. The most recent went up on Sep 18, 2026.

Every listing links to the employer's own application. Nothing is posted here on their behalf, and nothing is reposted from anywhere else.

Open roles

Summer Intern - Quantitative Risk Management

Options Clearing Corporation · Chicago, IL · $25.00 an hour · Full time

Posted Sep 18 · Verified Oct 6

Summer Intern - Quantitative Risk Management

Options Clearing Corporation · Chicago, IL · $25.00 an hour · Full time

Posted Sep 18 · Verified Oct 6

Summer Intern - Quantitative Risk Management

Options Clearing Corporation · Chicago, IL · $25.00 an hour · Full time

Posted Sep 18 · Verified Oct 6

What it pays here

Only some employers publish a range. These are the ones that did, as written in their own postings:

  • $25.00 an hour

What they ask summer intern quantitative risk management candidates here

Drawn from the 3 open postings on this page. The ones that come up across several employers are near the top.

OCC is a central counterparty for options. In your own words, why does a clearinghouse need to collect margin from its clearing members?

What they are checking: Basic grasp of counterparty risk and why margin exists, which frames everything QRM does.

Explain what an option's delta and gamma tell you about its risk.

What they are checking: Foundational options knowledge a quant risk intern should bring from coursework.

How would you estimate the one-day 99 percent value at risk of a portfolio using historical data?

What they are checking: Whether they can explain a standard risk measure and its assumptions, not just name it.

Tell me about a project where you wrote code to analyze a large data set. What language did you use and what went wrong along the way?

What they are checking: Practical programming experience and how they debug, which interns do daily in QRM.

Your model's back-test shows more losses beyond VaR than expected. What would you check first?

What they are checking: Model skepticism and a structured approach to diagnosing whether data, code or assumptions are wrong.

What is the difference between a correlation and a causal relationship, and why would that matter in a risk model?

What they are checking: Statistical maturity about model assumptions that can break during market stress.

Tell me about a time you had to explain a technical result to someone without your background.

What they are checking: Communication skill, since quants at OCC work with business users and model validators.

How would you sanity check a price or volatility data series before using it in a model?

What they are checking: Attention to data quality, which drives most real-world model errors.

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