Quantitative Developer (Fintech)
United States - Remote
R
USD 121K-213K (estimate) Mid-level Full Time
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop pricing libraries for derivatives
- Ensure observability with logging and metrics
- Implement pricing and risk systems
- Implement regulatory compliance reporting workflows
- Implement risk engines and P L attribution
- Lead incident response
- Maintain technical documentation
- Mentor junior engineers
- Optimize code latency and throughput
- Perform scenario analysis and stress testing
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud Native Architecture | Columnar Databases | Concurrency | FIX Protocol | GPU Computing | High Throughput | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Market Data | Metrics | Observability | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Quantitative modeling | Regulatory Compliance | Risk Management | Simulation | Stress Testing
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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