Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Create audit friendly documentation and runbooks
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging and metrics
- Implement pricing and risk systems
- Implement risk engines and PnL attribution
- Lead incident response for trading issues
- Mentor junior engineers
- Profile and optimize latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Concurrency | Data Ingestion | FIX | High Throughput | Java | KDB+ | Logging | Low Latency | Market Data | Market data ingestion | Metrics | Observability | Performance Tuning | PnL Attribution | Profiling | Python | Q | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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