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Quantitative researcher \u2013 2026 phd intern (europe)

London
Internship
Quantitative researcher
Posted: 12 June
Offer description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. Youget to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.Your ObjectivesConceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into codeBack test and implement trading models and signals in a live trading environmentUse unconventional data sources to drive innovationConduct research and statistical analysis to build and refine monetization systems for trading signalsYour Skills & TalentsPhD degree in mathematics, statistics, physics, computer science, or another highly quantitative fieldStrong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)Prior experience working in a data driven research environmentExperience with translating mathematical models and algorithms into code (Python, R or C++)Independent research experienceAbility to manage multiple tasks and thrive in a fast-paced team environmentExcellent analytical skills, with strong attention to detailStrong written and verbal communication skillsOpportunities available in London, Paris.About Citadel SecuritiesCitadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the marketmost critical challenges, turning big ideas into real-world outcomes.

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