Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build risk engines
- Create regulatory and compliance reporting workflows
- Design low-latency trading systems
- Develop market data ingestion pipelines
- Implement observability logging metrics audit trails
- Implement pricing libraries
- Lead incident response for trading critical issues
- Maintain technical documentation runbooks and architecture diagrams
- 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++ | Cloud Native | Cloud Native Architecture | Concurrency | Data Normalization | Derivative pricing | FIX | GPU Computing | High Performance | High-Performance Computing | Java | Kdb Plus | Kdb plus Q | Latency optimization | Logging | Loss Attribution | MATLAB | Market Data | Market data normalization | Metrics | Performance Computing | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation | Stress Testing | Throughput Optimization
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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