Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Collaborate with quants traders and risk officers
- Design and implement low latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement regulatory compliance reporting workflows
- Implement risk engines and P L attribution
- Lead incident response for trading issues
- Maintain technical documentation
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production software
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud-native Architectures | Concurrency | Cpkub?? | Data Ingestion | FIX | GPU Computing | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Java | Kdb+q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data ingestion | Metrics | Performance Computing | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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