Senior Software Engineer, Quant - hybrid in Chicago, IL, Overland Park, KS or NYC
Chicago, ILAll locationsChicago, ILOverland Park OPXNew York, NYKansas City, MO Hybrid
$119,000–$154,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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. Cboe Data Vantage is looking for an experienced software engineer who is excited about combining strong engineering skills with financial quantitative analysis. The role focuses on modeling a diverse set of financial instruments and includes portfolio analysis. You will work within a team of seasoned developers, technologists, and quants all with deep experience in financial markets and financial modeling. Data Vantage’s clients are among the largest and most prestigious financial institutions and rely on our expertise in this space.
What you'll bring
- 3+ years in Java or C# (or equivalent), including understanding of parallel and multithreaded design patterns.
- Background in financial markets, derivatives pricing, and/or risk analysis.
- Ability to explain a complex software system end-to-end, from inputs to output, including its design rationale and business value
- Ability to work as a self-starter
- take ownership of projects from start to finish
- develop requirements and specifications
- QA testing, documentation and production release
- Minimum of a bachelor’s degree in a STEM field
- 1+ year in C++ preferred — our system is primarily Java, but performance-critical calculations run in C/C++ and CUDA
- Equity derivatives experience is a plus.
- but a master’s degree preferred.