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C# Software Engineer

Wolverine
CompanyWolverine
CategoryEngineering
LocationChicago
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted11 Jun 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
We are seeking a motivated, self-directed, and technically outstanding developers with a strong quantitative background to join our team of Software Engineers responsible for building systems that support our options trading, valuation, and risk management infrastructure. With the ever-changing demands of markets and financial technology worldwide, these systems are in a constant state of improvement and expansion. • Engage in full cycle development of custom-built options valuation and risk management systems • Communicate with traders, risk managers, and quantitative analysts to identify issues and develop improvements to pricing and risk systems • Gather requirements, design solutions, iterate on implementations with peers and business advisors, participate in code reviews, and deliver products in a timely manner • Troubleshoot and solve complex problems escalated by trading and support staff • Provide insights on and help prioritize tasks to optimize, modernize, and improve the accuracy, performance, and scalability of our systems • Document mathematical specifications, model assumptions, software requirements, and test cases • Keep abreast of emerging developments in derivatives pricing theory, numerical methods, and financial technology • Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra • Experience with data analytic tools such as SQL, Pandas, Jupyter, or similar, with an emphasis on financial time-series and market data • Experience with Windows, Linux, Python, .Net, WPF • Familiarity with options pricing models, risk metrics (Greeks, scenario analysis, volatility surfaces), market microstructure, and options trading workflows is a strong plus • Be organized, self-directed, and dependable; able to manage your own workload and provide reasonable estimates for completion • Have superb analytical and problem-solving skills, particularly in translating mathematical models into robust, high-performance code • Have excellent verbal and written communication skills, able to convey quantitative concepts and design decisions to both technical and non-technical stakeholders