Similar Jobs
Building trusted markets —powered by our people.
Company Overview
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 associates a safe space to network, share ideas and create opportunities.
The Cboe Data Vantage group seeks a Data Science Manager to join our team. Data Vantage provides derivatives valuation, risk analytics, and margin services that enable institutional clients to manage derivatives risk and enhance and support investment strategies.
This role will focus on our global real-time option model fitting processes that apply models including binomial, SABR, and MJD and use machine learning for real-time calibration. This is an opportunity to advance one’s knowledge of the derivatives markets, gain hands on exposure to a uniquely vast amount of analytic data, and to work within a team with deep experience in financial markets and computer science who are committed to improving information in the financial markets.
Location: NYC or Chicago (flex hybrid)
Responsibilities
Apply statistics including use of predictive analytic methods to assess the integrity, stability, and reliability of the model results over time.
Propose and develop new metrics and data views that can help us maintain and improve the fitness of our derivatives risk analytics and supporting data processes.
Collaborate with Development teams to help create Quality Engineering tooling and frameworks. This includes providing R&D results along with specifications and prototypes.
Qualifications
The candidate will have a strong understanding of statistical concepts and data science methods.
Masters degree required in a quantitative discipline such as Statistics, Operations Research, Engineering, Physics, Math, or Computer Science.
Academic and/or industry experience with statistical modeling and predictive analytics
5+ years of experience, ideally in financial industry with exposure to financial products (e.g. equities and options, fixed income) and could include experience with option pricing models such as Black Scholes, or rates curve bootstrapping and models such as Nelson Siegel.
Strong proficiency in programming/scripting languages such as Python or R, and SQL is a requirement. Ability to write code and analyze large data sets. Familiarity with Java is a plus.
Experience with optimization approaches is a plus.
Communication skills to work effectively with both technical and business side team participants.
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:
Medical Coverage
Prescription Drug Coverage
Additional Medical Benefit
Dental Coverage
Vision Coverage
Spending Accounts
Life and AD&D Insurance
Retirement Savings Plan
Employee Stock Purchase Plan (ESPP)
Voluntary & Additional Benefits
Paid Time Off
More About Cboe Europe
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 celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging.
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 an equal opportunity employer - and celebrate our associates' differences, including race, religion, sex, sexual orientation, gender identity, national origin, age and disability
#LI-JS1
#LI-HYBRID
Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $125,800-$155,400. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below:
US Geographic Differentials:
110%: Austin TX, Chicago IL, Denver CO, San Diego CA
115%: Los Angeles CA, Seattle WA
120%: Boston MA, Washington DC
125%: New York City NY
130%: San Francisco CA
Within the range, individual pay is determined by a number of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision), 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance, and much more! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program, visit TOTAL REWARDS @CBOE.
Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.
Cboe Global Markets Chicago, Illinois, USA Office
We are in the loop in the Old Post Office building which has been redesigned into luxury office space with the biggest roof tops in Chicago. Our roof top features pickle ball courts, basketball court, walking path and dining lounging areas. We also have ample garage parking and a gym in our building. Our location is only 2 blocks from Union Station and the "L" train. Additionally, there are many dining options nearby.
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
