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 risk systems
- Develop derivatives pricing libraries
- Ensure system observability with logging metrics audit trails
- Implement regulatory compliance reporting workflows
- Implement risk engines P and L attribution and scenario analysis
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Profile and optimize code latency throughput
- Translate quantitative models to production code
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Concurrency | Data Ingestion | Data Normalization | FIX | High Throughput | Java | Kdb Plus | Kdb plus Q | Logging | Loss Attribution | Low Latency | Market Data | Market data ingestion | Metrics | Performance Tuning | Profiling | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Regulatory Compliance | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Roles
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