Lead Data Scientist (Quant) - Treasury FX
London, United Kingdom
GBP 75K-111K (estimate) Senior-level Full Time
Tasks
- Build Python microservices for quantitative models
- Build risk models including VaR stress testing and scenario analysis
- Collaborate with product teams on quantitative insights
- Create backtesting frameworks and validate models
- Develop and optimize trading strategies
- Develop pricing models for new instruments and products
- Develop shared quant libraries for multiple services
- Implement monitoring alerting and reliability for real time pricing and risk
- Maintain CI/CD pipelines for deployments
- Own production infrastructure for FX pricing risk and trading systems
- Perform incident response and root cause analysis
- Run real time curve construction for yield curves and FX forwards
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Backtesting | CI/CD | Data Pipelines | Databases | Debugging | Deployment | Event Driven | Event-driven architecture | FX | Kafka | Microservices | Model Validation | Monitoring | Monte Carlo | Python | Real Time | Real-time Data | Real-time data pipelines | Redis | Risk Analytics | Scenario Analysis | Stochastic Calculus | Streaming systems | Stress Testing | Term Structure Modelling | Term structure | Testing | VAR
Education
N/A
Roles
Data Scientist | Developer | Lead | Lead Data | Lead Data Scientist | Quantitative Developer | Scientist
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