Quantitative Trader – Equity – London

As a Quantitative Trader, you will utilize an in-house trading system—among the fastest and most sophisticated in the world—to develop and deploy algorithmic trading strategies driven by patterns in market behaviour.

Responsibilities:

• Designing, implementing, and deploying trading algorithms.
• Exploring trading ideas by analyzing market data, market microstructure, and alternative data sources for patterns.
• Creating tools to support data analysis and pattern recognition.
• Contributing to libraries of analytical computations used for market data analysis and strategy development.
• Developing, refining, and calibrating exchange simulators.

Qualifications:

• A Bachelor’s, Master’s, or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or a related STEM field.
• Experience in high-frequency or quantitative trading.
• Strong foundation in mathematics and statistics.
• Proficiency in back-testing, simulation, and statistical techniques such as auto-regression, auto-correlation, and Principal Component Analysis.
• Solid skills in data mining and analysis, with experience working with large datasets
• Familiarity with signal generation and statistical modelling.
• Strong programming abilities in Python and/or C++.

For more info, please reach out to Laura at laura@qenexus.com.

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