Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion pipelines
- Design and implement low latency trading systems
- Develop derivatives pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines and PnL attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Run scenario analysis and stress testing
- Translate quantitative models into production code
Perks/Benefits
- N/A
Skills/Tech-stack
Auditing | Backtesting | C++ | Concurrency | Data Normalization | Derivatives pricing | FIX | High Performance | High-Performance Computing | Incident Response | Java | Kdb+q | Logging | MATLAB | Market Data | Metrics | Performance Computing | Performance Tuning | PnL Attribution | Profiling | Python | QuantLib | Risk Management | Simulation | Stress Testing
Education
Roles
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