Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Design low latency trading and pricing systems
- Develop derivatives pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement risk engines and P and L attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize latency and throughput
- Perform scenario analysis and stress testing
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Backtesting | C++ | Cloud Architecture | Concurrency | FIX | GPU Computing | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Java | Kdb+q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Metrics | Observability | Performance Computing | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation
Education
Roles
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