Quantitative Risk Management Analyst

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 inclusive 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. Our Associate Resource Groups champion diversity, equity and inclusion, giving employees a safe space to network, share ideas and create opportunities.

Sound like the place for you? Join us!

The Risk Management team is hiring for a Quantitative Risk Analyst.

Cboe Global Markets is looking for a Quantitative Risk Management Analyst who will be reporting directly to the Chief Risk Officer. The role will primarily focus on financial risk management (market, credit, liquidity and settlement) but may cross-over occasionally to operational risk management as those risks impact the organization’s financial resources. 

The Quantitative Risk Management Analyst is expected to integrate into the Risk Management team and assist in general operations such as monitoring and reviewing of various risk reports, alerts and other processes. Furthermore, the individual is expected to contribute to improving existing processes, reports and documentation to enable Cboe Clear Digital to continue its growth trajectory of offering new products and services to the clearing membership. This would include performing analytics of various data sets (for example Member trading activity and limits usage, market volume and market share), designing risk management rules, calculations and dashboards and communicating to senior management. 

The candidate is expected to be proficient in the use of tools such as Python (for data analytics and automation of routine reports), Excel, and data visualization tools. The candidate will have exposure and opportunity to learn about the business and incorporate new innovative ideas to drive operational efficiencies from the bottom up.

Your responsibilities will be:

• Review automated reports, alerts and processes and follow documented procedures when alerts are triggered. Improve existing processes and develop new ones where necessary. Introduce automation of routine tasks. 
• Assist in creating actionable KRIs, dashboards and alerts. Help develop new tools to manage and scale different business segments while operating within approved risk mandates. 
• Create reports and slides for regularly scheduled and ad-hoc meetings and be able to explain complex subject matter to audiences with different levels of familiarity. 
• Work across different teams to understand new business initiatives and their impact on the clearinghouse’s risk management efforts.
• Perform periodic risk reviews including reaching out to Clearing Members and requesting updated documentation.

• Help with ad-hoc data analysis and research.
• Help with basic QA testing of risk models and reports by running Python code locally and verifying various outputs. Assist in documentation of risk reports and processes.
• Assist in non-financial risk items such as BCP/DR planning and testing, operational risk assessments, periodic internal reviews, and business risks assessments. 
• Must be able to maintain a high level of confidentiality and uphold strong ethical standards.
• Unwavering commitment to co-operative and a collaborative working environment.
• Strong commitment to deliver tasks and resolve problems.
• Have strong analytical and problem-solving skills with outstanding attention to detail.

The ideal candidate has:

• Experience in a risk management role (market or credit risk) at a financial services firm (Clearinghouse, Proprietary Trading, Investment Firm, Bank, or FCM).
• Experience and knowledge of capital and derivatives market and products.
• Knowledge of market risk management topics such as Value at Risk (VaR) calculation, stress testing, and/or portfolio risk evaluation.
• Programming and data analysis skills in Python and SQL. A Python test will be conducted. 
• Experience with data visualization and reporting tools such as Power BI or Tableau.
• Interest and some background in Finance, Inve