Liquidity Risk Quant Analyst — Hybrid Work Options

CME Chicago Mercantile Exchange Inc.; Chicago (IL); Hybrid; USD 76,000 - 164,000; Full time

Job summary

CME Group seeks a Financial Quantitative Analyst to assess liquidity risk, coordinate with risk and surveillance teams, and develop quantitative models and monitoring tools. The role involves regulatory support, reporting, and presenting risk analyses to governance committees.

Applicants should have a Master’s in a quantitative field and at least two years’ experience with risk modeling, Bloomberg, and programming (C++, C#, R, Python, or Java). Hybrid work arrangement.

Qualifications

• Master’s degree in Financial Mathematics, Applied Mathematics, Economics, Finance, or a related field and 24 months of experience as a Financial Quantitative Analyst, or a related occupation.
• Must have two years of experience with/in:
• - Handling margin setting, modeling issues, and other risk-mitigation measures
• - Bloomberg
• - At least three of the following programming languages, C++, C#, R, Python, and/or Java
• - Relational databases including MS SQL/Oracle and SQL
• - Pricing complex derivatives and performing advanced statistical analysis on underlying risk factors such as returns’ distribution, volatility, and correlations
• - Manipulating and interpreting large data sets, including creating visualizations using tools such as Tableau or Looker
• - Statistical modeling techniques including VaR, EVT, and GARCH
• - Financial and Quantitative Analysis

Responsibilities

• Assess and monitor market conditions that impact CME’s risk exposures, focusing on liquidity risk.
• Liaise with Market Risk, Financial Surveillance, Credit, Collateral, Policy, and Quant teams to ensure effective oversight of counterparty credit, liquidity, and collateral risk profiles.
• Develop, automate, and enhance quantitative models and risk monitoring tools, as well as maintain and improve existing systems.
• Respond to regulatory requests, support mandatory reporting, and prepare submissions for external inquiries.
• Create and present reports for CME clearing’s internal governance committees, measure CME clearing’s key risks and eliminate issues as appropriate.

Skills

Programming languages: C++

Programming languages: C#

Programming languages: R

Programming languages: Python

Programming languages: Java

Statistical analysis

Data visualization (Tableau/Looker)

Risk modeling basics (VaR, EVT, GARCH)

Financial and quantitative analysis

Education

Master's degree in Financial Mathematics / Applied Mathematics / Economics / Finance

Tools

Bloomberg

MS SQL/Oracle

Job description

CME Group seeks a Financial Quantitative Analyst to assess liquidity risk, coordinate with risk and surveillance teams, and develop quantitative models and monitoring tools. The role involves regulatory support, reporting, and presenting risk analyses to governance committees.

Applicants should have a Master’s in a quantitative field and at least two years’ experience with risk modeling, Bloomberg, and programming (C++, C#, R, Python, or Java). Hybrid work arrangement.