Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure trading system observability
- Implement pricing and risk systems
- Implement regulatory compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud-native Architectures | Concurrency | Data Processing | Debugging | Derivatives pricing | FIX | GPU Computing | High Performance | High-Performance Computing | Java | KDB+/Q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data processing | Metrics | Performance Computing | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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