Quantitative Developer (Fintech)
Tasks
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging metrics audit trails
- Implement regulatory compliance reporting
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code latency and throughput
- Run backtesting and simulation infrastructure
- Translate quantitative models to production
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | Data Ingestion | FIX Protocol | High Performance | High-Performance Computing | Java | Kdb+q | Logging | Loss Attribution | Market Data | Market data ingestion | Metrics | Observability | Performance Computing | Performance Tuning | Pricing models | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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