At a Glance
- Tasks: Develop and implement quantitative models for pricing, risk, and market analysis.
- Company: Join a leading firm in finance and technology with diverse opportunities.
- Benefits: Flexible working options, competitive salary, and professional growth.
- Other info: Exciting roles available across the UK with potential for career advancement.
- Why this job: Combine your passion for maths and programming to make an impact in finance.
- Qualifications: Strong background in mathematics, statistics, and software engineering.
The predicted salary is between 50000 - 70000 £ per year.
We work with a range of UK employers actively hiring across these roles.
UK-Based (On-Site, Hybrid or Remote)
About the Role
We're looking for talented Quantitative professionals at all levels—from Quantitative Analyst and Quantitative Researcher through to Quant Developer, Quantitative Risk Analyst and Senior / Lead Quant—for upcoming roles across the buy-side, sell-side, risk and fintech. This is where serious mathematics, programming and financial markets meet: you'll build the models that price instruments, manage risk and find the edge. You'll work across the full quantitative lifecycle—from research and model development through to implementation, validation and production. The role suits someone who pairs genuine mathematical and statistical depth with strong software engineering and the intellectual honesty to know exactly what a model can and can't be trusted to do.
Key Responsibilities
- Develop, test and implement quantitative models—pricing, risk, signal / alpha or execution
- Apply statistical and machine learning methods to financial and market data
- Build and maintain pricing and valuation models across one or more asset classes
- Develop risk models—VaR, stress testing, scenario analysis, market and credit risk (Buy-side)
- Research signals, develop strategies and run rigorous backtesting
