Job Description

Our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. 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

Bachelors, Masters or PhD 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 NoSQL databases (e.g., MongoDB)
Experience with distributed computing using MapReduce
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

About Citadel Securities

Citadel 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 market’s most critical challenges, turning big ideas into real-world outcomes.

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