Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Collaborate with quants traders and risk officers
- Design low latency trading pricing and risk systems
- Develop pricing libraries for derivatives and structured products
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines pnl attribution scenario analysis and stress testing
- Lead incident response for trading critical issues
- Maintain technical documentation
- Mentor junior engineers
- Profile and optimize code for latency and throughput
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud Native Architecture | Columnar Databases | Concurrency | Derivatives pricing | FIX Protocol | GPU Computing | High Throughput | Java | KDB+ | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Metrics | Performance Tuning | Profiling | Profit & Loss | Profit Loss Attribution | Python | Q | QuantLib | Quantitative modeling | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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