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 .