Graduate Quant Researcher 2026
## Responsibilities: Assist with improving our high-frequency trading strategies. Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes. Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies. Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets. Run simulations and model market for both liquid and illiquid assets. Improve and maintain supporting infrastructure in Python. ## Hard Skills Requirements: Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required. Advanced Python coding skills. Experience and advanced knowledge of statistics/probability theory. Machine Learning experience.
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