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 compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Perform scenario analysis and stress testing
- Profile and optimize latency and throughput
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | Data Ingestion | Derivatives pricing | FIX Protocol | GPU Computing | High Performance | High-Performance Computing | Incident Response | Java | KDB+ | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Market data ingestion | Metrics | Performance Computing | Performance Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk engines | Scenario Analysis | Simulation | Stress Testing | Technical documentation | Trading systems
Education
Roles
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