Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Create technical documentation and architecture diagrams
- Design and implement low latency trading pricing risk systems
- Develop derivatives pricing libraries with testing
- Ensure observability with logging metrics audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines and P and L attribution
- Lead incident response for trading critical issues
- Mentor junior engineers
- Optimize code for latency and throughput
- Translate quantitative models into production software
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Cloud-native Architectures | Compliance reporting | Concurrency | Data Ingestion | Data Normalization | Debugging | Derivatives pricing | FIX Protocol | GPU Computing | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Java | KDB+ | Logging | Loss Attribution | Low Latency | Low-Latency Systems | Market Data | Market data ingestion | Metrics | Performance Computing | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Quantitative modeling | Risk engines | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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