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Junior Quant Developer - Multi-Strat Systematic Trading Fund

Radley James

England

Hybrid

GBP 45,000 - 60,000

Full time

Yesterday
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Job summary

A leading investment firm is seeking a Junior Quant Developer to join its front-office execution team in London. The role involves developing high-performance trading systems, optimising execution algorithms, and contributing to research frameworks. Ideal candidates will have a Bachelor's degree in Computer Science or related field, along with proficiency in C++ or Python, and internship experience. This opportunity offers a competitive compensation package and a hybrid working model.

Benefits

Competitive compensation package
Hybrid working model

Qualifications

  • 0–4 years of experience in a quantitative development role.
  • Previous internship(s) within trading is a plus.

Responsibilities

  • Develop and enhance high-performance trading systems.
  • Optimise execution algorithms for systematic trading.
  • Contribute to research and simulation frameworks.

Skills

Proficiency in C++
Proficiency in Python
Strong problem-solving skills
Analytical skills
Ability to work in a fast-paced environment

Education

Bachelor's degree in Computer Science or closely related field
Job description
Junior Quant Developer – Multi-Strategy Systematic Trading

Location - London (or NYC)

A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front‑office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities.

As a Junior Quant Developer (0–4 years of experience), you will :

  • Develop and enhance high‑performance trading systems.
  • Optimise execution algorithms for systematic trading.
  • Contribute to research and simulation frameworks.
Key Requirements
  • Bachelor's degree in Computer Science or closely related field
  • Interesting internship(s) within trading
  • Proficiency in C++ or Python (the firm’s tech stack includes both).
  • Strong problem‑solving and analytical skills.
  • Ability to work in a fast‑paced, collaborative environment.

This opportunity offers a competitive compensation package and hybrid working model.

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