Quantitative Researcher

Quantitative Researcher – London London | Mid-Frequency Equities | Quantitative Research I'm working with a quantitative investment firm looking to hire an experienced Quantitative Researcher into its London team. The role is focused on developing new sources of information and predictive signals for mid-frequency equity strategies, with significant scope to explore how machine learning and emerging AI technologies can improve the research process. The researcher will work across:

• Signal and predictive model development
• Research across large-scale financial and alternative datasets
• Statistical modelling and machine learning
• Equity market and mid-frequency systematic research
• LLMs, AI agents and research automation
• New approaches to data analysis and hypothesis generation
• Backtesting, empirical research and model validation
• Taking ideas from initial research through to implementation The ideal candidate will have 2–5+ years of quantitative research experience within a market leading Tier 1 Firm, quantitative or investment environment, alongside a strong academic background and excellent Python, statistics and ML skills. Experience with equities, alternative data and modern ML/AI techniques would be particularly relevant. This is an opportunity to join an established quantitative investment environment and work on challenging research problems with the potential to directly influence investment decisions and systematic strategies. Location: London