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Quantitative Researcher - Execution Services

eFinancialCareers
Greater London
2 weeks ago
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Responsibilities


Modelling: Design and develop models to assist in alpha generation. Areas include: Automated evaluation of signal performance over time and feature engineering techniques to drive improvements. Robust estimation of key metrics such as signal correlations, decay, turnover and risk.Rigorous Grounding:Given inherentplexity and high dimensionality, employ methods to avoid overfitting and poor OOS performance based on sound statistical reasoning.Collaboration:Work with team members to decide the overall direction, design, and architecture of the platform, and collaborate with key stakeholders across the business.
Qualifications/Skills Required
Required Experience:5+ years of experience in Quantitative Finance setting, with a proven track record of developing robust alpha models, preferably in an Equities context.Education:PhD or Master's degree in Statistics, or a related field with an excellent understanding of the theory behind statistical and machine learning methods.Technical Skills:Proficiency in Python and/or KDB, preferably both. Job ID REQ-24954

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National AI Awards 2025

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