Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants and traders
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging and metrics
- Implement regulatory compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- 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
- N/A
Skills/Tech-stack
Backtesting | C++ | Cloud Architecture | Concurrency | Data Processing | Derivatives pricing | FIX Protocol | GPU Computing | High Performance | High Throughput | High-Performance Computing | Java | KDB+ | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data processing | Metrics | Observability | Performance Computing | Performance Profiling | Profit & Loss | Profit Loss Attribution | Python | Q | QuantLib | Quantitative modeling | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
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