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Statistical Arbitrage Quant Researcher

Onyx Alpha Partners

City of Edinburgh

On-site

GBP 70,000 - 120,000

Full time

4 days ago
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Job summary

A leading multi-strategy hedge fund in London seeks an exceptional Statistical Arbitrage Quant Researcher, specializing in medium frequency strategies. This role involves the design, implementation, and optimization of trading models. Ideal candidates have a Ph.D. and experience in quantitative research within hedge funds, with strong programming skills in Python, R, or C++.

Qualifications

  • 3+ years of experience in quantitative research within a hedge fund.
  • Strong programming skills in Python, R, or C++.
  • Evidence of developing profitable trading strategies.

Responsibilities

  • Design and implement medium frequency statistical arbitrage strategies.
  • Optimize strategies for signal extraction and performance evaluation.
  • Collaborate with portfolio managers to integrate strategies.

Skills

Quantitative Research
Machine Learning
Python
R
C++
Data-driven Decision Making
Analytical Skills

Education

Ph.D. in Quantitative Field

Tools

TensorFlow
scikit-learn

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 astute quantitative skills to develop and refine trading models that are both innovative and profitable.

Key Responsibilities:

Design and implement medium frequency statistical arbitrage strategies across various markets from end to end. Optimize the way in which the team extracts maximum value from signals, and backtesting to evaluate the performance of trading models. Collaborate with portfolio managers to integrate new market microstructure strategies into the existing portfolio. Continuously monitor market conditions to adjust parameters and algorithms accordingly. Maintaining a strong understanding academic research to keep the team updated with the latest quantitative techniques and theories.

Requirements:

Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques for predictive analytics. Exceptional analytical skills, with a focus 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 the most sought after talent in the financial world, to opportunities that expand the universe of unconstrained performance within their chosen discipline. If this opportunity aligns with your career aspirations, we encourage you to apply and explore the potential for growth and unparalleled success.

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