Quantitative Researcher - Mid Freq Futures & Equities

Algo Capital Group

London

5 months ago

Applications closed

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SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

Data Science Manager

Machine Learning Expert

Quantitative Researcher – Mid Freq Futures & Equities

A world-renowned hedge fund is seeking an experienced Quantitative Researcher to join their MFT Futures and Equities team. This role will focus on mid-frequency trading, with responsibility for the design, implementation, and optimization of advanced trading strategies. You will collaborate with a highly skilled team of researchers and engineers, driving continuous performance improvements and leading innovation in quantitative trading.

Responsibilities:

Explore and deploy innovative trading products and strategies to diversify portfolios and enhance risk-adjusted returns
Design, implement, and optimize mid-frequency algorithmic trading strategies for Futures and Equities markets.
Regularly assess and refine strategies to ensure they remain aligned with evolving market conditions and operational objectives.
Work closely with leading quantitative researchers and engineers to improve existing strategies and identify new trading opportunities.

Qualifications:

Advanced academic qualifications (Master's/PhD) in a quantitative field, such as Mathematics, Physics, Statistics, Computer Science, or a related discipline.
Proven experience in generating alpha and developing high-performing signals within the Futures market.
Strong background in quantitative trading, with specific expertise in mid-frequency Futures strategies or comparable asset classes.
Extensive proficiency in programming languages such as Python, C++, or Java.
Deep expertise in machine learning techniques and tools, with a focus on their application in strategy development and optimisation.

This position offers an exceptional opportunity for a seasoned quantitative researcher to make a significant impact within mid-frequency futures and Equities markets. If you are driven by the pursuit of innovation in algorithmic trading and are looking for a challenging, high-impact role, we invite you to apply.

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