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
- Mentor junior engineers
- Perform scenario analysis and stress testing
- Profile and optimize code latency and throughput
- Translate quantitative models to production
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | Debugging | Derivatives pricing | FIX | GPU Computing | High Performance | High-Performance Computing | Incident Response | Java | KDB+ | Logging | Loss Attribution | MATLAB | Market Data | Metrics | Performance Computing | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | Q | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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