Quantitative Engineer
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants traders and risk officers
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging and metrics
- Implement pricing and risk engines
- Implement regulatory compliance reporting
- Implement risk P and L attribution
- Lead incident response
- 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
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Architecture | Columnar Databases | Concurrency | Derivatives pricing | FIX | GPU Computing | High Performance | High-Performance Computing | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Market Data | Metrics | Performance Computing | Performance Tuning | Profiling | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing | Technical documentation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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