Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Collaborate with quants traders risk officers
- Design and implement low latency trading pricing risk systems
- Develop derivatives and structured product pricing libraries
- Ensure observability with logging metrics audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines P and L attribution scenario analysis stress testing
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers and contribute to code review
- Profile and optimize critical path code for latency throughput
- Translate quantitative models to production code
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Compliance reporting | Concurrency | Debugging | Derivatives pricing | FIX | High Performance | High-Performance Computing | Java | KDB+ | Latency optimization | Logging | Loss Attribution | MATLAB | Metrics | Performance Computing | Profiling | Profit and Loss | Profit and Loss Attribution | Python | Q | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing | Throughput Optimization
Education
Roles
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