Algorithmic Trading Developer
Tasks
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Implement observability logging metrics and audit trails
- Implement pricing and risk systems
- Implement risk engines and P and L attribution
- Lead incident response for trading issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code for latency and throughput
- Run backtesting and simulation infrastructure
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | FIX | High Throughput | Incident Response | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Metrics | Observability | Performance Tuning | Profiling | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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