Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build risk and P and L attribution tools
- Create scenario analysis and stress testing
- Design low-latency trading systems
- Develop derivatives pricing libraries
- Implement observability with logging and metrics
- Implement pricing and risk engines
- Ingest and normalize market data
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Translate quantitative models into production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Columnar Databases | Concurrency | Data Ingestion | Debugging | Derivatives pricing | FIX Protocol | High Performance | High Throughput | High-Performance Computing | Incident Response | Java | Kdb/q | Logging | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data ingestion | Metrics | P and L | P and L Attribution | Performance Computing | Performance Tuning | Profiling | Python | QuantLib | Regulatory Compliance | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
N/A
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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