Quantitative Risk Analytics Intern

Tradermath; Chicago (IL); Hybrid; USD 48,000 - 55,000; Full time

Job summary

DV Trading, based in Chicago, seeks a quantitatively minded intern for the Quantitative Risk Management team. You will build and execute advanced risk monitoring, design data collection, analyze key metrics, and present results to senior management.

Applicants are pursuing a degree in Mathematics, Statistics, Physics, Computer Science or a similarly quantitative field, with graduation expected between Winter 2027 and Summer 2028. Python and SQL basics are required, plus clear communication.

Qualifications

• Pursuing a degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
• Expected to graduate between Winter 2027 and Summer 2028
• Proficient to advanced knowledge of statistical modeling and other quantitative techniques including linear & non-linear regression, optimization, simulation, time-series analysis, probability theory, survival analysis, value-at-risk, PCA, and GARCH
• Basic proficiency in Python and SQL is required
• Ability to communicate complex concepts and findings clearly

Responsibilities

• Build and execute advanced quantitative risk monitoring using results from above exercise, including design, collection and analysis of key risk metrics in collaboration with multiple stakeholders to influence business strategy.
• Utilize advanced quantitative analytics to assess future risk, opportunities, and effectiveness and translate results into meaningful solutions to enhance decision making.
• Contribute to strategic, cross-functional initiatives within the Quantitative Risk Management team.
• Present results of the reviews performed to the Executive Management Team.

Job description

DV Trading, based in Chicago, seeks a quantitatively minded intern for the Quantitative Risk Management team. You will build and execute advanced risk monitoring, design data collection, analyze key metrics, and present results to senior management.

Applicants are pursuing a degree in Mathematics, Statistics, Physics, Computer Science or a similarly quantitative field, with graduation expected between Winter 2027 and Summer 2028. Python and SQL basics are required, plus clear communication.