Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Collaborate with quants traders and risk officers
- Design and implement low latency trading and pricing systems
- Develop pricing libraries for derivatives and structured products
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines and profit and loss attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Perform scenario analysis and stress testing
- Profile and optimize code for latency and throughput
- Translate quantitative models into production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Columnar Databases | Compliance reporting | Concurrency | Data Ingestion | Debugging | Derivatives pricing | FIX Protocol | High Performance | High Throughput | High-Performance Computing | High-Throughput Systems | Incident Response | Java | Kdb Plus | Kdb plus Q | 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 | Risk Management | Scenario Analysis | Simulation | Stress Testing | Technical documentation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Developer | Engineer | Quantitative Developer | Software Engineer
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