Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion normalization pipelines
- Collaborate with quants traders and risk officers on models and tooling
- Design low latency trading pricing and risk systems
- Develop derivatives and structured product pricing libraries
- Ensure observability with logging metrics and audit trails
- Implement regulatory and compliance reporting workflows
- Implement risk engines P and L attribution and scenario analysis
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers and perform code reviews
- Optimize code for latency and throughput using profiling
- Translate quantitative models to production code
Perks/Benefits
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Compliance reporting | Concurrency | FIX | High Performance | High Throughput | High-Performance Computing | Incident Response | Java | Kdb/q | Logging | Loss Attribution | Low Latency | Low-Latency Systems | MATLAB | Market Data | Metrics | Performance Computing | Performance Tuning | Profiling | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Scenario Analysis | Simulation | Stress Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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