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Quantitative Research Analyst – University Graduate (Europe)

Citadel Enterprise Americas LLC

Greater London

On-site

GBP 60,000 - 90,000

Full time

25 days ago

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Job summary

A leading global market maker is seeking a quantitative researcher to develop and test trading strategies using advanced statistical techniques. Ideal candidates have a strong mathematical background and programming skills in Python, R, or C++. The position involves conceptualizing valuation strategies and conducting detailed statistical analysis. This role is based in Greater London.

Qualifications

  • Bachelor's or master's degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
  • Strong knowledge of probability and statistics including machine learning and time-series analysis.
  • Prior experience working in a data driven research environment.

Responsibilities

  • Conceptualize valuation strategies and improve mathematical models.
  • Back test and implement trading models in a live trading environment.
  • Conduct research and statistical analysis for trading signals.

Skills

Probability and statistics
Machine learning
Time-series analysis
Pattern recognition
NLP
Analytical skills
Communication skills

Education

Bachelor's or master's degree in a quantitative field

Tools

Python
R
C++
Job 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. 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, Zurich, Paris and Dublin.

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