Quantitative Developer (Fintech)
United States - Remote
R
USD 121K-213K (estimate) Mid-level Full Time
Tasks
- Build P and L attribution systems
- Build market data ingestion pipelines
- Design low-latency trading systems
- Develop backtesting and simulation infrastructure
- Develop derivatives pricing libraries
- Ensure observability with logging metrics audit trails
- Implement pricing and risk systems
- Implement risk engines and scenario analysis
- Implement stress testing capabilities
- Lead incident response for trading issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize latency and throughput
- Profile and tune critical path code
- Translate quantitative models into production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud-native Architectures | Concurrency | Data Pipelines | FIX | GPU | High Performance | High Throughput | High-Performance Computing | Java | KDB+ | Logging | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data pipelines | Metrics | Observability | P and L | P and L Attribution | Performance Computing | Python | Q | QuantLib | Risk Management | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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