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 derivatives pricing libraries with testing
- 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 software
Perks/Benefits
- N/A
Skills/Tech-stack
Audit trails | Backtesting | C++ | Cloud Native | Concurrency | FIX | High Performance | High Throughput | High-Performance Computing | Java | Kdb+q | Logging | Loss Attribution | Low Latency | MATLAB | Metrics | Performance Computing | Profit & Loss | Profit Loss Attribution | Python | QuantLib | Risk Management | Simulation
Education
Roles
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