Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Design low latency trading pricing and risk systems
- Develop derivatives and structured products pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines P and L attribution scenario analysis and stress testing
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Profile and optimize code latency and throughput
- Translate quantitative models into production software
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Compliance reporting | Concurrency | Data Ingestion | FIX | High Throughput | Java | KDB+ | Logging | Low Latency | Low-Latency Systems | MATLAB | Market Data | Market data ingestion | Metrics | P and L | P and L Attribution | Performance optimization | Pricing libraries | Profiling | Python | Q | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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