Sr Software Engineer, Quant

Job Description:

Location: Flex Hybrid - Chicago office or NYC office

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!

Cboe is looking for an experienced Senior Quantitative Developer who seeks a new challenge in the financial technology services industry. You will work within a team of seasoned developers, technologists, and quants with immense experience in financial markets and a keen interest in financial modeling and analytics.

Responsibilities:

• Develop and implement quantitative models and software applications to process and analyze real-time financial market data in a high-performance, real-time computing environment
• Maintain and optimize existing software applications, and recommend and implement improvements
• Write technical specifications, project plans, and technical documentation; translate business requirements into functional specifications and project plans
• Regular communication with senior managers and technical colleagues
• Processing, collecting, and analyzing financial market data, including high frequency real-time pricing data and reference data
• Monitor and improve the quality of analytical data generated from our applications; develop/work with reference data team to add or modify reference data sources
• Work with product managers and business development team to write documentation, technical specifications, project plans and sales material for our data and applications

Experience:

• Minimum 5 years of experience in financial markets required (market data, reference data, risk)
• Quantitative STEM background with a strong interest in financial markets, derivatives pricing, quantitative modeling, and risk analytics experience
• Experience in financial derivatives modeling, corporate actions, securities, and derivatives reference data, including futures and options contracts
• Strong programming skills in Java and/or C++; functional programming skills in SQL; and working knowledge of R, Python/NumPy, MatLab, or similar language for working with data and performing scientific computing.  CUDA programming experience preferred.
• Strong knowledge of and extensive experience with statistical concepts including Bayesian modeling and hypothesis testing; linear regression; principal components (PCA); tree models; and time series modeling such as GARCH

Specific Skills Required:

• Strong attention to detail, a highly analytical and quantitative mind, capable of translating analytical insights into actions
• Ability to work as a self-starter with minimal supervision; take ownership of projects from start to finish; develop requirements and specifications; QA testing, documentation and production release
• Ability to multi-task, prioritize and manage time effectively, in a deadline driven environment
• Strong interpersonal and communication skills necessary to work within a global team

Education:  Bachelor's degree required and Master’s or PhD in a STEM field highly preferred

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This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

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 $119,000-$147,000. 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:

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.