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.