Systematic Investment Research

<p>Our client is building a team of researchers who want to push the boundaries of quantitative investing.</p><p><br></p><p>This isn't a traditional quant role</p><p><br></p><p>We're looking for scientists, researchers and innovators who believe the next generation of investment strategies will be discovered through rigorous scientific research, mathematical innovation and machine learning.</p><p><br></p><p>You'll work alongside researchers exploring new ideas across systematic investing, quantitative finance and financial data science—developing novel methodologies that can ultimately become live investment strategies.</p><p><br></p><p>What You'll Do</p><p><br></p><ul><li>Conduct original quantitative research into systematic investment strategies.</li><li>Develop and test new hypotheses using machine learning, statistics and mathematical modelling.</li><li>Design novel alpha signals, portfolio construction techniques and optimisation frameworks.</li><li>Research financial markets using large-scale structured and alternative datasets.</li><li>Build robust research pipelines, experimentation frameworks and backtesting environments.</li><li>Validate ideas through rigorous scientific experimentation, out-of-sample testing and reproducible research.</li><li>Translate successful research into production investment strategies.</li></ul><p><br></p><p>What We're Looking For</p><p><br></p><p>We're far more interested in how you think than where you've worked. You'll likely have experience in several of the following:</p><p><br></p><ul><li>Scientific research within quantitative finance, mathematics, statistics, computer science or physics.</li><li>Original research into systematic investing, portfolio optimisation or financial data science.</li><li>Machine learning applied directly to investment research.</li><li>Statistical modelling and experimental design.</li><li>Developing new quantitative methodologies rather than simply applying existing ones.</li><li>Python and modern quantitative research tools.</li><li>Working with large financial or alternative datasets.</li></ul><p><br></p><p>Publications, open-source research, conference presentations or contributions to the quantitative research community are highly valued.</p><p><br></p><p>Ideal Backgrounds</p><p><br></p><p>You might currently be a:</p><p><br></p><ul><li>Quantitative Research Scientist</li><li>Systematic Researcher</li><li>Alpha Researcher</li><li>Financial Data Scientist</li><li>Machine Learning Researcher (Investments)</li><li>Quantitative Portfolio Researcher</li><li>Applied Research Scientist (Financial Markets)</li></ul>

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