Quantitative Developer (Fintech)
Tasks
- Build backtesting and simulation infrastructure
- Build market data ingestion and normalization pipelines
- Collaborate with quants traders and risk officers to refine models and tooling
- 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 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
Accelerated computing | Backtesting | C++ | Cloud Native | Cloud-native Architectures | Concurrency | Data Systems | Derivatives pricing | FIX | GPU accelerated computing | High Performance | High-Performance Computing | Java | Kdb+q | Logging | Loss Attribution | Market Data | Market data systems | Metrics | Performance Computing | Profit and Loss | Profit and Loss Attribution | Python | QuantLib | Risk Management | Simulation
Education
Roles
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