Quantitative Developer
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Collaborate with quants and traders on models and tooling
- Design and implement low latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines and P and L attribution
- Lead incident response for trading critical issues
- Maintain technical documentation
- Mentor junior engineers
- Profile and optimize code for latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud | Concurrency | Derivatives pricing | FIX | GPU | High Performance | High-Performance Computing | Java | Kdb/q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Metrics | Performance Computing | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Roles
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