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 derivatives pricing libraries
- Ensure system observability with logging and metrics
- Implement compliance and regulatory reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production software
Perks/Benefits
Skills/Tech-stack
Backtesting | C++ | Cloud Computing | Concurrency | Derivatives pricing | FIX Protocol | GPU Computing | High Performance | High-Performance Computing | Java | KDB+ | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Metrics | Performance Computing | Profit and Loss | Profit and Loss Attribution | Python | Q | QuantLib | Risk Management | Simulation | Stress Testing
Education
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