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Wolverine is a diversified trading and asset management firm centered on proprietary strategies across equities, options, and futures. The tech stack—C++, C#, Python, FPGA, and SystemVerilog—combined with active projects in low-latency hardware solutions and microstructure research signals a firm betting on speed and algorithmic edge. Hiring is accelerating across trading (7 roles) and engineering (5 roles), with a mid-to-senior seniority mix focused on performance-critical systems and real-time trading infrastructure.
Tech Stack 21 technologies
What Wolverine Trading Is Building
◆Challenges
- Improving performance of trading systems
- Enhancing reliability of trading platforms
- Risk management logic improvement
- High-speed low latency trading systems
- Real-time system bottlenecks
- Hard performance problems
- Low-latency systems
- Improving trading algorithm profitability
- Internal workflow improvements
- High-availability trading environment
▲Active Projects
- Develop trading algorithms
- Define microstructure research initiatives
- Trading platforms
- System deployments and migrations
- Improve performance-critical c++ applications
- Research options pricing signals
- High frequency trading alpha generation
- Build performance monitoring tools
- Data acquisition and cleaning
- Low-latency hardware trading solutions
Hiring Activity
15 roles · 5 in 30d
Department
Seniority
Company intelligence