Overview
As an Equities Quant Developer, you will design, implement, and optimize pricing and risk models for equity markets within a high-impact fintech environment. You’ll work closely with a lean team of engineers to translate complex mathematical methods into production-ready code. The role blends deep quantitative work with practical software delivery, enabling scalable, transparent investment analysis. This is a chance to shape the tech backbone of a fast-growing financial network that raises industry standards.
Pay / Benefits
- hybrid working
- open, relaxed environment
- potential for high earnings
- independent work style
Responsibilities
- Create, develop and implement complex pricing and risk models for equities
- Apply stochastic calculus, PDEs, Monte Carlo methods, statistics and numerical algorithms for quantitative analysis
- Develop production-ready, object-oriented code
Key requirements
- Minimum 8 years’ experience in financial markets focused on trading and risk management within the equities space
- MSc in STEM
- Strong C++ including C++11/14
- Python
- Git/Github or version control experience
- Experience in yield curves construction
- Knowledge of fixed income performance attribution methodologies
- independent/self-motivated
- able to work in a small, high-impact team
- problem-solving orientation
- C++ (C++11/14)
- Python
- Object-oriented programming
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