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Cboe

Quantitative Risk Manager

Chicago, IL

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Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Description:

Building trusted markets — powered by our people

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.

To support strong partnership and team connection, this role follows a four day in office work model.

Location Overview

Cboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River.

With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.

Role Description

Cboe Clear U.S. operates a CFTC-registered Derivatives Clearing Organization offering digital assets futures and is pending registration as an SEC Covered Clearing Agency to clear novel Binary KPI Options. We are looking for a Quantitative Risk Manager to join our growing Risk Management team. This position will report directly to the Chief Risk Officer.

Responsibilities

Models and Risk Framework Design

  • Independently create derivatives valuation and portfolio margin models that will be used by the Clearinghouse for valuation of complex portfolios of exchange-traded futures and options under different market conditions; and for calculating Clearing Member margin requirements.
  • The process of creating such models and analytics will include writing whitepapers indicating industry references, use of data and assumptions, model details and back-testing results. There is an expectation that you will be required to provide insights into model functionality, capabilities, and limitations to senior management, Risk Management Committee, auditors and regulators.
  • Create frameworks for portfolios stress testing and analysis to capture various types of risk to the Clearinghouse and translate the findings into recommendations for financial resources planning.
  • Create frameworks and processes for designing default management auctions as well as performing analysis of slippage incurred in the event of liquidation of Clearing Member portfolios under default scenarios taking into account volume, market depth/spread, market conditions and different hedging options.
  • Research to support new instruments listing on participating exchanges for Clearing. Stay abreast of developments in the field of financial risk modeling particularly related to Clearinghouses.

Governance

  • Create a structure of model governance, version control and change management including change approval structure. Help develop Policies and Procedures for Model Risk Management as well as meet with or respond to requests from regulators or auditors for information.
  • Understand regulatory requirements in relation to monitoring and calibration of risk models and help design and implement appropriate monitoring tools. Be able to defend assumptions of models to regulatory agencies as a part of audits and new model proposals.
  • Design and implement suitable and effective ongoing monitoring plans including performance metrics, thresholds, and escalation plans. Design reports and dashboards to be distributed to key stakeholders.
  • Own the task of having the margin model, model system, and broader financial risk management framework validated by an independent third party. Follow up on recommendations and gaps identified by any such validation.

Implementation

  • Identify sources of data that will drive various risk models and reports and design pipeline for data ingestion and schema for data storage.
  • Write technical specifications for developers to implement quantitative models and other risk calculations. Work with developers on deployment of risk models and tools taking into account contingency and business continuity planning.
  • Help write automated QA tests as well as processes for manual code and model output review and approval.

Experience

  • 10+ years of working experience in the financial modeling field as a key contributor using simulation, regression, and time-series modeling techniques in Capital Markets (such as Clearing, Banking or Trading and Investment).
  • 5+ years of experience in a senior role with experience with model development, validation and governance. Previous experience working with regulators or external or internal auditors is a plus.
  • Deep understanding of VaR, stress testing, and portfolio risk management.
  • Strong knowledge of methods used in pricing and analysis of derivative instruments
  • Exceptional statistics and/or econometrics skills
  • Mathematical analytical skills such as Monte Carlo Simulation, Time Series Analysis, Stochastic Calculus, Linear Algebra, Optimization and Probability.
  • Practical systems experience and strong programming skills. Ability to design and implement models in Python.
  • Master’s degree in Physics, Mathematics, Econometrics or a related quantitative field.
  • Demonstrated knowledge of securities finance, asset pricing/modeling, and risk analytics

Benefits and Perks of working for Cboe Global Markets

We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer:

Fair and competitive salary and incentive compensation packages with an upside for overachievement

Generous paid time off, including vacation, personal days, sick days and annual community service days

Health, dental and vision benefits, including access to telemedicine and mental health services

2:1 401(k) match, up to 8% match immediately upon hire

Discounted Employee Stock Purchase Plan

Tax Savings Accounts for health, dependent and transportation

Employee referral bonus program

Volunteer opportunities to help you give back to your communities

Some of our associates’ favorite benefits and perks include:

Complimentary lunch, snacks and coffee in any Cboe office

Paid Tuition assistance and education opportunities

Generous charitable giving company match

Paid parental leave and fertility benefits

On-site gyms and discounts to other fitness centers

Paid Time Off

More About Cboe Global Markets

We’re reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.

We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Learn more about life at Cboe on our website and LinkedIn .

Equal Employment Opportunity

We're proud to be

Original posting on Cboe's site ↗

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