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Quantitative Researcher, Machine Learning (Equities)

JR United Kingdom

London

On-site

GBP 40,000 - 80,000

5 days ago
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Job summary

An innovative and quantitatively driven hedge fund is seeking a Junior Quantitative Researcher to join their Mid-Frequency Equity Statistical Arbitrage team in London. This role offers a unique opportunity to apply advanced machine learning techniques to analyze large datasets and improve predictive models. The firm values collaboration and an academic approach to research, making it an ideal environment for those passionate about quantitative trading. If you have a strong academic background in Mathematical Machine Learning and are eager to enter the world of finance, this position could be the perfect fit for you.

Qualifications

  • Stellar academic background with a PhD in Mathematical Machine Learning.
  • Experience in applying machine learning techniques to real-world applications.

Responsibilities

  • Analyze large datasets using sophisticated machine learning techniques.
  • Enhance predictive models for quantitative trading strategies.

Skills

Machine Learning

Statistical Analysis

Data Analysis

Deep Learning

Education

PhD in Mathematical Machine Learning

Master's Degree in a related field

Job description

Social network you want to login/join with:

Quantitative Researcher, Machine Learning (Equities), London
Client:

AI Search

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Description:

A pioneering and quantitatively driven hedge fund is hiring a Junior Quantitative Researcher for their Mid-Frequency Equity Statistical Arbitrage team. As part of their expansion, they are applying sophisticated machine learning techniques to analyze a variety of large datasets to enhance predictive models.

The business, a relatively unknown UK entity, values collaboration and takes an academic approach to research. Anyone joining the business will share similar principles.

The right candidate will have a stellar academic background, having studied Mathematical Machine Learning at PhD level from a top university. While finance experience is preferred, it is not a prerequisite if machine learning techniques (such as deep learning) have been applied to other real-world applications. Experience between 0-2 years is ideal.

If you fit the criteria and are looking to get into quantitative trading, we would love to hear from you.

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