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Quantitative Researcher

JR United Kingdom

Slough

On-site

GBP 30,000 - 45,000

Full time

27 days ago

Job summary

A leading quantitative hedge fund in Slough is seeking a Junior Quantitative Researcher. The successful candidate will collaborate with researchers and developers, tackling strategy research and trading pipeline tasks. A Master's or PhD in a numerate field is essential, along with excellent coding skills. This role offers exposure to the full research process in a dynamic environment.

Qualifications

  • Master's or PhD in a numerate field is required.
  • Excellent coding ability in at least one language is necessary.
  • Experience in finance from academic or professional background is preferred.

Responsibilities

  • Collaborate with researchers and developers on dataset cleaning and trading strategies.
  • Involvement in all aspects of research and strategy pipeline.

Skills

Excellent coding ability
Strong attention to detail
Excellent problem-solving abilities

Education

Master's or PhD in Mathematics, Physics, Computer Science, or Engineering

Tools

Python
C++
Java
MATLAB
Job description

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Systematic Quantitative Researcher - Entry/Junior Level - London Office

My client is a leading quantitative hedge fund with offices across Europe, North America and Asia. Their teams trade all traditional asset classes and cover a mix of MM/HFT, Stat Arb, Quant Macro, and Event-Driven strategies. The firm is looking for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field.

Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working with developers and traders to optimize, implement, monitor and manage strategies.

The Role:

  • Collaborate with other quantitative researchers and developers to clean datasets, discuss research, and optimise systematic trading strategies.
  • Involvement in all aspects of the strategy research/trading pipeline, from research based on large datasets to the development, backtesting and monitoring of strategies in live trading.

Requirements:

  • The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering.
  • Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc.
  • Experience/knowledge of finance from academic studies, internships or professional work.
  • Strong attention to detail, excellent problem-solving abilities, and the ability to work well in a collaborative environment.
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