Quantitative Engineer
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants and traders to refine models
- Design and implement low latency trading systems
- Develop pricing libraries for derivatives
- Ensure observability with logging and metrics
- Implement compliance reporting workflows
- Implement risk engines and P and L attribution
- Lead incident response for trading critical 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
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Computing | Compliance reporting | Concurrency | Data Ingestion | FIX Protocol | High Performance | High-Performance Computing | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Market data ingestion | Metrics | Performance Computing | Performance Tuning | Pricing | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing | Trading systems
Education
Roles
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