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. You'll get 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 Objectives
Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code Back test and implement trading models and signals in a live trading environment Use unconventional data sources to drive innovation Conduct research and statistical analysis to build and refine monetization systems for trading signals Your Skills & Talents
Bachelor's or master's degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent analytical skills, with strong attention to detail Strong written and verbal communication skills Opportunities available in London.
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Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code Back test and implement trading models and signals in a live trading environment Use unconventional data sources to drive innovation Conduct research and statistical analysis to build and refine monetization systems for trading signals Your Skills & Talents
Bachelor's or master's degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent analytical skills, with strong attention to detail Strong written and verbal communication skills Opportunities available in London.
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