Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design and implement low latency trading systems
- Develop derivatives pricing libraries
- Implement observability with logging metrics and audit trails
- Implement pricing and risk systems
- Implement risk engines and PnL attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code for latency and throughput
- Perform scenario analysis and stress testing
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud Native Architecture | Concurrency | Data Ingestion | Debugging | FIX Protocol | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Incident Response | Java | KDB+ | Logging | Low Latency | Low-Latency Systems | Market Data | Market data ingestion | Metrics | Performance Computing | Performance Tuning | PnL Attribution | Profiling | Python | Q | QuantLib | Risk Management | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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