Quantitative Analyst

Quantitative Analyst (Python/C++)

London | Hybrid (3 Days per Week) | £65,000 - £90,000 + Bonus + Benefits

An exciting opportunity has arisen for a Quantitative Analyst to join a highly technical team developing sophisticated stochastic models used to analyse complex financial transactions and long-term market risk.

This role is ideal for someone who enjoys applying mathematics, statistics and software development to solve challenging quantitative problems. You'll work on large-scale modelling projects, build robust analytical solutions and collaborate with quantitative specialists across a global business.

What You'll Be Doing

• Develop and enhance stochastic cashflow and valuation models
• Build quantitative solutions using Python, C++, Java or similar languages
• Analyse complex financial datasets and investigate model performance
• Improve and automate reporting, modelling and analytical processes
• Support the implementation of new financial transactions and products
• Work closely with quantitative, technology and risk teams on high-impact projects

What We're Looking For

• Degree in Mathematics, Physics, Statistics, Computer Science, Engineering or another quantitative discipline
• Commercial experience developing quantitative or mathematical models
• Strong programming experience in Python, C++, Java or C
• Experience with stochastic, probabilistic or Monte Carlo modelling
• Excellent analytical and problem-solving skills
• Ability to work with large datasets and complex numerical models

Desirable Experience

• Quantitative finance or financial engineering
• Financial markets, derivatives or risk modelling
• Insurance or reinsurance
• R, SQL or data engineering
• Actuarial or financial modelling platforms

What's On Offer

• £65,000-£90,000 salary
• Hybrid working (3 days per week in London)
• Bonus and comprehensive benefits
• Exposure to complex quantitative modelling challenges
• Opportunity to work alongside experienced quantitative developers and analysts
• Excellent career progression within a global organisation