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Quantitative Developer

Zenith Search

Greater London

On-site

GBP 180,000 - 350,000

Full time

10 days ago

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Job summary

Join a leading global trading firm as a Quant Developer, where you'll leverage your programming skills in Python and C++ to design and optimize high-performance trading systems. This exciting role offers the chance to work in a collaborative, research-driven environment, directly impacting trading outcomes. With an industry-leading compensation package and opportunities for innovation, you'll thrive in a flat culture that rewards merit. If you're passionate about solving complex problems in equities trading, this is the perfect opportunity for you.

Benefits

Industry-leading compensation package
Exceptional performance bonuses
Access to cutting-edge technology
Flat, non-hierarchical culture
Collaborative environment

Qualifications

  • 2+ years of experience in equities trading with a strong programming background.
  • Hands-on experience with real-time trading systems and backtesting frameworks.
  • Strong academic background in STEM fields.

Responsibilities

  • Design and optimize high-performance trading systems focused on equities.
  • Collaborate with researchers and traders to develop robust trading strategies.
  • Contribute to the improvement of execution algorithms and performance.

Skills

Python
C++
Equities Trading
Algorithms
Data Structures
Optimization Techniques

Education

Degree in Computer Science
Degree in Engineering
Degree in Mathematics
Degree in Physics

Tools

Backtesting Frameworks
Real-time Trading Systems
Performance Profiling Tools

Job description

Direct message the job poster from Zenith Search

Quant Recruitment Consultant @ Zenith Search | Financial Technology Expert

A leading global trading firm is seeking a highly skilled Quant Developer with strong Equities experience to join their London team. This is a unique opportunity to work in a highly collaborative, research-driven environment where cutting-edge technology and quantitative strategies power market-leading performance.

Responsibilities:

  • Design, build, and optimize high-performance trading systems and quantitative models focused on global equities.
  • Partner directly with researchers and traders to translate ideas into robust, production-ready code.
  • Develop infrastructure for systematic trading strategies, real-time data analysis, and backtesting.
  • Contribute to the continuous improvement of execution algorithms and performance tuning.
  • Engage in a fast-paced environment focused on innovation, experimentation, and rapid iteration.

Key Requirements:

  • Strong programming skills in Python and C++ (or other low-latency languages).
  • Solid experience (2+ years) working with equities trading, including understanding of market microstructure.
  • Deep knowledge of algorithms, data structures, and optimization techniques.
  • Hands-on experience with real-time trading systems, backtesting frameworks, and performance profiling.
  • Strong academic background with a degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • Passion for solving complex problems, eagerness to learn, and the ability to thrive in a highly collaborative setting.

What’s on Offer:

  • Industry-leading compensation package with exceptional performance bonuses.
  • Access to cutting-edge technology and infrastructure.
  • Flat, non-hierarchical culture that rewards innovation and merit.
  • Collaborative environment with world-class engineers, researchers, and traders.
  • Opportunities for ownership and real impact on trading outcomes.

If you are a passionate Quant Developer with a drive for innovation and excellence in equities trading, we’d love to hear from you. Apply today to be part of one of the most exciting and dynamic trading environments in the world.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Finance
  • Industries
    Capital Markets, Investment Management, and Investment Banking

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