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Junior Quant Researcher

Trades Workforce Solutions

Greater London

On-site

GBP 60,000 - 80,000

Full time

Yesterday
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Job summary

A systematic quantitative hedge fund in London is seeking a Quantitative Researcher. This role offers the opportunity to expand understanding of market dynamics and build quantitative trading systems in a collaborative environment. The ideal candidate will have a strong background in quantitative fields, experience or relevant PhD, and programming knowledge, preferably in Python. Close mentoring and training will be provided to help develop skills. This is an excellent opportunity for individuals passionate about financial markets.

Qualifications

  • 1-3 years of commercial experience in relevant buy-side Quant roles or fresh PhD with internships.
  • Demonstrable interest in global financial markets.
  • Ability to create robust future predictions using technical skills.

Responsibilities

  • Expand understanding of market dynamics.
  • Build quantitative trading systems.
  • Work with large, complex datasets while exploring individual ideas.

Skills

Quantitative background in mathematics, physics, economics or similar
Fluency in programming (e.g., Python)
Excellent communication and teamwork skills

Education

Relevant degree or PhD
Job description
Quantitative Researcher, London, Startup Systematic Quantitative Hedge Fund

Our client is a well-funded and growing Systematic Equity startup with exceptional talent and strong financial backing.

The role will report to the Head of Research and the successful candidate will work alongside the existing team of 6 researchers.

They are looking for researchers to help them expand their understanding of market dynamics, and to build quantitative trading systems. Researchers work with large, complex datasets and have the freedom to explore their own ideas.

Skills and Experience
  • A strong quantitative background in mathematics, physics, economics or similar
  • 1-3 years of commercial experience in relevant buy-side Quant roles OR a fresh PhD with relevant internships
  • A demonstrable interest in global financial markets
  • Some fluency in your programming language of choice (they use Python for research)
  • Ability to apply technical skills in order to understand complex market forces and create robust future predictions
  • Enthusiasm for working in a small and growing team with a high level of collaboration across the entire end-to-end trading system
  • Excellent communication and teamwork skills

New starters will receive close mentoring and training as they develop their skills.

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