Quantitative Developer (Fintech)
Tasks
- Build market data ingestion pipelines
- Build scenario analysis and stress testing tools
- Design and implement low latency trading systems
- Develop backtesting and simulation infrastructure
- Develop pricing libraries for derivatives and structured products
- Implement observability with logging and metrics
- Implement risk engines and P and L attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code for latency and throughput
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud Native Architecture | Concurrency | Derivatives pricing | FIX | High Performance | High-Performance Computing | Incident Response | Java | Kdb+q | Latency optimization | Logging | MATLAB | Metrics | P and L | P and L Attribution | Performance Computing | Performance Tuning | Profiling | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing | Structured products | Throughput Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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