Statistical Arbitrage Quant Researcher

JR United Kingdom; Worcester; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading multi-strategy hedge fund is seeking a Statistical Arbitrage Quant Researcher in Worcester. This role involves designing and implementing innovative trading strategies, utilizing strong quantitative skills and programming expertise. Ideal candidates will have a Ph.D. and experience in a hedge fund environment, contributing to a collaborative and intellectually driven culture.

Qualifications

• 3+ years of experience in quantitative research in a hedge fund environment.
• Strong analytical skills focused on data-driven decision-making.
• Proven success in developing medium frequency statistical arbitrage strategies.

Responsibilities

• Design and implement medium frequency statistical arbitrage strategies.
• Optimize signal extraction and backtest trading models.
• Collaborate with portfolio managers to integrate microstructure strategies.

Skills

Programming in Python

Programming in R

Programming in C++

Machine Learning

Data Analysis

Education

Ph.D. in Mathematics

Ph.D. in Statistics

Ph.D. in Physics

Ph.D. in Computer Science

Ph.D. in Computational Finance

Tools

TensorFlow

Scikit-learn

Job description

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Statistical Arbitrage Quant Researcher, worcester

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Client:

Location:

worcester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Statistical Arbitrage Quant Researcher

Locations: London

The Firm:

A leading multi-strategy hedge fund with ~$30 billion in assets under management is seeking an exceptional Medium Frequency Statistical Arbitrage Quant Researcher. With a global footprint and a reputation for excellence, our client employs state-of-the-art technology and data-driven methodologies to achieve superior returns across various asset classes.

The Culture:

The firm is built on a foundation of meritocracy, attracting and retaining the industry's leading quants and portfolio managers. They value intellectual curiosity, collaboration, and a commitment to excellence. The collaborative culture encourages open dialogue about the dynamic and rapidly changing environment, where information flows freely and novel ideas are transformed into actionable trading strategies.

The Role:

We are actively looking for a Quant Researcher specialized in Medium Frequency Statistical Arbitrage strategies to work for a high profile trading pod with an exceptional track record. As a key member of this elite research team, you will have the opportunity to apply your quantitative skills to develop and refine trading models that are innovative and profitable.

Key Responsibilities:

• Design and implement medium frequency statistical arbitrage strategies across various markets from end to end.
• Optimize the extraction of maximum value from signals and backtest trading models.
• Collaborate with portfolio managers to integrate new market microstructure strategies into the existing portfolio.
• Monitor market conditions continuously to adjust parameters and algorithms accordingly.
• Maintain a strong understanding of academic research to keep the team updated with the latest quantitative techniques and theories.

Requirements:

• Preferably a Ph.D. in Mathematics, Statistics, Physics, Computer Science, or Computational Finance.
• Evidence of exemplary accomplishments in academia or industry
• At least 3 years of experience in quantitative research within a multi-strategy hedge fund environment.
• Strong programming skills in Python, R, or C++, with experience in Machine Learning libraries such as TensorFlow or scikit-learn.
• Proven success in developing and trading medium frequency statistical arbitrage strategies, applying Machine Learning techniques for predictive analytics.
• Exceptional analytical skills, focused on data-driven decision-making.
• High ethical standards and a commitment to maintaining the firm's reputation for integrity.

At Onyx Alpha Partners, we are committed to connecting top talent in finance with opportunities that foster growth and success. If this aligns with your career goals, we encourage you to apply and explore the potential for development and achievement.