Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization 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 P and L attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize critical-path code for latency and throughput
- Translate quantitative models into production software
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Compliance reporting | Concurrency | Data Ingestion | Data Normalization | Debugging | Derivatives pricing | Documentation | FIX | High Performance | High-Performance Computing | Incident Response | Java | Kdb+q | Latency optimization | Logging | MATLAB | Market Data | Market data ingestion | Metrics | Observability | P and L | P and L Attribution | Performance Computing | Profiling | Python | QuantLib | Risk Management | Simulation | Throughput Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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