Quantitative Developer
📄 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