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