Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure system observability
- Implement regulatory reporting workflows
- Implement risk engines and stress testing
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Optimize code latency and throughput
- Translate quantitative models to production
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | Data Pipelines | Derivatives pricing | FIX Protocol | GPU Computing | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Incident Response | Java | Kdb/q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Market data pipelines | Metrics | Observability | Performance Computing | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation | Stress Testing
Education
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