Overview
In this role you will design and implement pricing and risk models for multi-asset products, using advanced quantitative methods and production-ready code. You will work closely with engineers in a small team to deliver robust solutions that support transparent, data-driven investment decisions. The position offers hybrid working in London and a chance to shape impactful pricing and risk analytics for a leading financial data network.
Pay / Benefits
- Hybrid working
Responsibilities
- Develop pricing and risk models for multi-asset products
- Implement models using stochastic calculus, PDEs, Monte Carlo, statistics, and numerical methods
- Produce production-ready, object-oriented code
- Collaborate with developers to deliver modeling solutions
Key requirements
- 5+ years in financial markets focused on trading and risk management (fixed income or equities)
- MSc or PhD in a STEM subject
- Strong C++ (C++11/14)
- Some Python
- Version control (Git/Github)
- Experience in yield curves construction
- Knowledge of fixed income performance attribution methodologies
- independent worker
- collaborative in small teams
- ability to work with developers
- C++11/14
- Python
- Git/Github
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