Company: Quant Capital
Location: London
Job Description:
Overview
In this role you will shape the core pricing and risk analytics for a new automated insurance trading platform. You will work closely with developers to implement complex models and production-ready code, delivering market-leading algos for buy- and sell-side execution. You’ll tackle stochastic models, Monte Carlo analyses, and numerical methods to support trading decisions in a high-impact FinTech environment. This opportunity combines greenfield development with a fast-paced, tech-driven culture that rewards independent, thoughtful problem solvers. Join a mission to reshape financial markets with a global, automated trading network.
Pay / Benefits
- Hybrid working
- Bonus
- Competitive salary
Responsibilities
- Develop and implement pricing and risk models
- Collaborate with developers to productionize algorithms
- Design and refine trading logic for buy/sell side execution
- Apply stochastic calculus, PDEs, Monte Carlo, statistics, and numerical methods
- Lead development on a greenfield algorithmic trading project
- Work within an open, fast-moving tech environment
Key requirements
- Experience in financial markets focusing on OTC or exchange-based trading
- MSc or PhD in a STEM subject
- Python proficiency
- Git/Github version control experience
- Experience in yield curves construction
- Knowledge of fixed income performance attribution methodologies
- Independent worker in a small team
- Strong problem-solving and analytical mindset
- Motivated by high-tech challenges and financial rewards
- Python
- Object-oriented programming
- Git/Github
…
Posted: September 14th, 2026