Software Engineer - Quantitative Finance & Risk Systems

Wolverine Trading; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Bonus opportunity

Paid time off

Medical insurance

Dental/vision

Parental leave

401K plan

Disability insurance

On-site gym

Free meals

Job summary

Wolverine Trading in Chicago, IL is seeking motivated software engineers to join a team responsible for building and enhancing options valuation and risk management systems. You will engage in full cycle development and collaborate with traders, risk managers, and quantitative analysts to identify issues and implement improvements.

We value mathematical rigor and strong communication, with opportunities to influence pricing, risk models, and system performance.

Qualifications

• Experience in object-oriented languages (C#, Java, or C++) and strong mathematical/statistical background.
• Familiarity with data analysis tools like SQL, Pandas, Jupyter.

Responsibilities

• Engage in full cycle development of options valuation and risk systems.
• Collaborate with traders, risk managers, and quantitative analysts to improve pricing and risk models.
• Gather requirements, design solutions, and iterate with peers; participate in code reviews and deliver on time.
• Troubleshoot and solve complex problems escalated by trading/support staff.
• Provide insights to prioritize tasks to improve accuracy, performance, and scalability.
• Document mathematical specifications, model assumptions, software requirements, and test cases.

Skills

C#

Java

C++

SQL

Pandas

Jupyter

Tools

None

Job description

Wolverine Trading in Chicago, IL is seeking motivated software engineers to join a team responsible for building and enhancing options valuation and risk management systems. You will engage in full cycle development and collaborate with traders, risk managers, and quantitative analysts to identify issues and implement improvements.

We value mathematical rigor and strong communication, with opportunities to influence pricing, risk models, and system performance.