Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants traders and risk officers
- Design and implement low latency trading systems
- Develop pricing libraries
- Ensure system observability with logging and metrics
- Implement regulatory compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading critical issues
- Maintain technical documentation
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Auditability | Backtesting | C++ | Concurrency | Data Ingestion | Documentation | FIX | GPU Computing | High Performance | High-Performance Computing | Incident Response | Java | KDB+ | Logging | Loss Attribution | MATLAB | Market Data | Market data ingestion | Metrics | Performance Computing | Performance optimization | Profiling | Profit & Loss | Profit Loss Attribution | 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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