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 pricing and risk 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 P and L attribution
- Lead incident response for trading critical issues
- Maintain technical documentation and runbooks
- Mentor junior engineers
- Optimize code for latency and throughput
- Perform scenario analysis and stress testing
- Translate quantitative models into production software
Perks/Benefits
- Career growth potential
- Full-time employment
- H1B transfer support
- Mentorship
- Remote work
- Technical coding assessment
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Computing | Concurrency | FIX | High Performance | High-Performance Computing | Java | KDB+ | 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 | Q | QuantLib | Regulatory Compliance | Risk Management | Simulation | Stress Testing
Education
Roles
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