Senior Software Engineer

Job Description:

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

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.

At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $119,000-$154,000 in Kansas, $130,900-$169,400 in Chicago, and $148,750-$192,500 in New York, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location.

This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.

Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at 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.