Quantitative Developer
1 day ago
City of London
📄 Job Specification: Quantitative Developer (PhD) Location: London, UK Employment Type: Permanent Salary: Competitive + Bonus + Benefits 🧭 Overview We are seeking highly skilled Quantitative Developers (PhD level) to join leading banking institutions in London. The role focuses on building robust quantitative models, analytics platforms, and high-performance systems to support trading, risk management, and pricing functions across asset classes. 🎯 Key Responsibilities • Design, develop, and implement quantitative models for pricing, risk, and trading strategies, • Translate complex financial models into scalable production-grade code, • Collaborate closely with Front Office, Trading, Risk, and Research teams, • Enhance and maintain low-latency, high-performance systems, • Perform model validation, backtesting, and optimisation, • Contribute to architecture design of quant libraries and analytics platforms, • Ensure best practices in software engineering, testing, and documentation, • Work with large datasets and implement efficient numerical methods 🧠 Required Qualifications • PhD in a quantitative discipline, such as:, • Mathematics, • Physics, • Statistics, • Financial Engineering, • Computer Science, • Strong academic background with focus on applied mathematics or computational methods 💼 Essential Experience • Proven experience working within investment banking or financial markets, • Strong understanding of:, • Derivatives pricing, • Risk modelling, • Market data and financial instruments, • Experience supporting Front Office or trading desks (highly desirable) 🛠️ Technical Skills • Advanced programming skills in:, • Python (essential), • C++ / Java / C# (strongly preferred), • Experience with:, • Object-oriented design and software engineering best practices, • Numerical methods (Monte Carlo, PDEs, stochastic calculus), • Data structures, algorithms, and performance optimisation, • Familiarity with:, • Quant libraries (e.g., QuantLib), • Cloud platforms or distributed computing (nice to have), • Version control tools (Git) 📊 Preferred Domain Expertise • One or more asset classes:, • Equities, • Fixed Income, • FX, • Commodities, • Credit derivatives, • Exposure to:, • Algorithmic trading / systematic strategies, • Risk systems (XVA, VaR, CVA, PFE, etc.) 🤝 Soft Skills • Strong analytical and problem-solving abilities, • Excellent communication skills (ability to explain complex concepts clearly), • Ability to work in fast-paced, front-office environments, • Collaborative mindset with stakeholders across business and technology 🌟 What’s on Offer • Opportunity to work on cutting-edge quantitative problems in global banking, • Exposure to front-office trading environments, • Competitive compensation with performance bonus, • Clear career progression into lead quant / architect roles, • Flexible / hybrid working options 📌 Typical Candidate Profile • PhD graduate with 3–10+ years’ experience in banking, • Strong blend of quantitative research + software engineering skills, • Experience delivering production-ready quant models, • Passion for solving complex financial and computational problems