Quantitative Developer
Tasks
- Apply concurrency and high performance computing patterns
- Build trading risk and analytics systems
- Debug profile and tune application performance
- Develop low-latency, high-throughput services
- Document requirements and system design
- Implement fix protocol solutions
- Implement market data systems
- Improve risk and PL attribution logic
- Participate in code review design review and mentorship
- Translate mathematical models into production software
Perks/Benefits
Skills/Tech-stack
C++ | Concurrency | Data Systems | FIX | Financial markets | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Java | Kdb+q | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Market data systems | Performance Computing | Performance Tuning | Profiling | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Risk Management
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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