Quantitative Developer (Fintech)
United States - Remote
R
USD 125K-200K (estimate) Mid-level Full Time
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Ensure system observability with logging metrics audit trails
- Implement compliance reporting workflows
- Implement pricing and risk engines
- Implement risk and PnL attribution
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Concurrency | Derivatives pricing | FIX | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Java | KDB+ | Logging | Low Latency | Low-Latency Systems | MATLAB | Metrics | Performance Computing | Performance Profiling | PnL Attribution | Python | Q | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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