Quant Analyst

As a Quantitative Analyst, you will work at the intersection of mathematics, statistics, and computer science to design, test, and optimise trading strategies. You will analyse large datasets, build predictive models, and collaborate with technologists to deploy these models into a high-performance, low-latency trading environment. Key Responsibilities: ●Design and implement alpha-generating strategies using statistical and machine learning techniques. ●Analyse vast amounts of market and alternative data to identify patterns and inefficiencies. ●Conduct rigorous back testing and simulation of trading strategies. ●Work closely with developers to implement research ideas into production trading systems. ●Monitor performance and continuously refine models to adapt to evolving market conditions. ●Contribute to the improvement of data pipelines and research infrastructure. Qualifications: ●PhD or Master's degree in a quantitative discipline (e.g., Mathematics, Physics, Computer Science, Statistics, Engineering). ●Strong background in probability, statistics, and numerical methods. ●Proficiency in C++, or a similar programming language. ●Experience with time-series analysis, signal processing, or machine learning. ●Familiarity with financial markets and trading concepts is a plus but not required. ●Ability to thrive in a fast-paced, collaborative environment.