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Quantitative Developer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Experis
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    Data Scientist, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Job Specification:
Quantitative Developer (PhD)

Location: London, UK

Employment Type: Permanent

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.

  • 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
  • Mathematics
  • Physics
  • Statistics
  • Computer Science
  • Strong academic background with focus on applied mathematics or computational methods
  • Proven experience working within investment banking or financial markets
  • Strong understanding of:
  • Market data and financial instruments
  • Experience supporting Front Office or trading desks (highly desirable)
  • Advanced programming skills in:
  • 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:
  • Cloud platforms or distributed computing (nice to have)
  • Version control tools (Git)
  • One or more asset classes:
  • Equities
  • Fixed Income
  • FX
  • Commodities
  • Exposure to:
  • Algorithmic trading / systematic strategies
  • 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
  • Passion for solving complex financial and computational problems
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