Quantitative Engineer
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants and traders on model tooling
- Design and implement low latency trading systems
- Develop derivatives pricing libraries
- Ensure system observability with logging and metrics
- Implement compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Profile and optimize code for latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production software
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | Debugging | FIX | High Performance | High-Performance Computing | Incident Response | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Market Data | Metrics | Performance Computing | Performance Tuning | Pricing libraries | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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