Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Implement pricing and risk systems
- Implement regulatory compliance workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Optimize code for latency and throughput
- Provide trading system observability
- Run scenario analysis and stress testing
- Translate quantitative models to production
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Computing | Concurrency | Derivatives pricing | FIX | High Performance | High-Performance Computing | Incident Response | Java | Kdb+q | Latency optimization | Logging | Loss Attribution | Market Data | Metrics | Performance Computing | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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