Company: Qenexus
Location: Greater London
Job Description:
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 is preferred but not required
- 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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Posted: April 3rd, 2026