Liquidity Risk Associate (Multiple Openings)

CME Chicago Mercantile Exchange Inc.; Chicago (IL); Hybrid; USD 76.000 - 164.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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

Aufgaben

• 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.

Kenntnisse

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

Ausbildung

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

Tools

Bloomberg

MS SQL/Oracle

Jobbeschreibung

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. Perform daily liquidity risk monitoring procedures, conduct liquidity stress testing, and elevate findings, as necessary. Maintain deep expertise in liquidity risk, relevant domestic and international regulations, and Clearinghouse rulebook requirements. 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. Contribute to developing new risk models, improving system functionality, and executing quantitative analyses in support of various risk initiatives. Create and present reports for CME clearing’s internal governance committees, measure CME clearing’s key risks and and eliminate issues as appropriate. Telecommuting permitted on a hybrid schedule as determined by the employer.

MINIMUM REQUIREMENTS

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 (2) years of experience with/in:

• Handling margin setting, modeling issues, and other risk-mitigation measures
• Bloomberg
• At least three (3) 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

SALARY: $75,608 - $164,100.00 per Year, Standard company benefits.

CME Group is committed to offering a competitive total rewards package for our employees that recognizes their contributions to the business and reflects our long-term investment in their future. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant). Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad-based equity program. Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.

The pay range for this role is $98,500-$164,100.

At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.

For U.S. employment, CME Group is legally required to validate a new hire’s employment eligibility by having them complete an Employment Eligibility Verification (Form I-9) placed with legally acceptable proof of identity and work authorization (as listed on the Form I-9). CME Group uses E-Verify, which is an online system operated by the U.S. Department of Homeland Security in partnership with the Social Security Administration to verify employment eligibility and validate social security numbers. Through participation in the E-Verify program, information entered on Form I-9 will be provided and compared to information available at both of these agencies. See posters below for more details. E-Verify Notice E-Verify Notice Español U.S. Right to Work Notice U.S. Right to Work Notice Español