Quantitative Researcher – Top-Tier Systematic Hedge Fund

2 weeks ago


London, United Kingdom Octavius Finance Full time

We are exclusively partnered with a leading systematic hedge fund in London seeking a Quantitative Researcher to join their world-class team.This is an exceptional opportunity to work at the intersection of machine learning, data science, and financial markets, contributing to the design and development of next-generation systematic trading strategies. The firm values creativity, collaboration, and intellectual curiosity, and offers a platform where researchers can make a visible impact across the business.Key Responsibilities:Conduct advanced quantitative research using large-scale financial and alternative datasets.Design, develop, and deploy systematic trading models driven by data science and machine learning innovation.Apply cutting-edge statistical and ML techniques (including supervised, unsupervised, and reinforcement learning) to uncover patterns and generate actionable insights.Collaborate closely with researchers, engineers, and portfolio managers in an agile, idea-driven environment.Present research outcomes to both technical and investment teams, helping shape strategic decision-making.Ideal Candidate Profile:PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or another quantitative field.Deep expertise in machine learning, data science, and statistical modelling.Strong programming skills in Python (or a similar research-oriented language).A highly analytical and collaborative mindset, eager to contribute in a fast-paced, intellectually rigorous setting.Prior financial experience is not required – the team welcomes candidates from non-financial backgrounds who bring a fresh perspective and a passion for applying data science to complex problems.If you’re looking to join a highly collaborative and agile team, where your ideas will be heard and your work will have tangible visibility across the firm, we’d love to hear from you.



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