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Semi-Systematic Trader: Data-Driven Market Making

Citadel Securities

Greater London

On-site

GBP 131,000 - 263,000

Full time

14 days ago

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Job summary

A leading global market maker is seeking a Trader to leverage quantitative problem-solving and innovative strategies across various asset classes. Responsibilities include integrating discretionary and systematic trading strategies, optimizing trade execution, and utilizing data analysis for decision-making. Ideal candidates will have experience in trading complex financial products, strong proficiency in Python, SQL, and R, and the ability to operate under pressure. A Bachelor's degree in a relevant field is required, with a competitive salary range of $175,000 to $350,000.

Qualifications

  • Experience trading complex financial products (options, ETFs, futures).
  • Interest in game theory, decision theory and strategy games.
  • Ability to make decisions under time constraints in high pressure situations.
  • Operational leadership and strong interest in trading and technology.
  • Effective problem-solving skills and strategic decision-making.
  • Excellent written and verbal communication skills.
  • Self-starter, not afraid to question status quo.

Responsibilities

  • Integrate discretionary trading strategies with systematic ones.
  • Optimize trade selection and execution using strategic decision-making.
  • Use trading metrics and data analysis to improve decision-making.

Skills

Trading complex financial products
Game theory
Decision theory
Strategic decision-making
Problem-solving
Communication skills
Detail-oriented
Self-starter

Education

Bachelor’s Degree in Science, Technology, Engineering, Mathematics

Tools

Python
SQL
R
Job description
A leading global market maker is seeking a Trader to leverage quantitative problem-solving and innovative strategies across various asset classes. Responsibilities include integrating discretionary and systematic trading strategies, optimizing trade execution, and utilizing data analysis for decision-making. Ideal candidates will have experience in trading complex financial products, strong proficiency in Python, SQL, and R, and the ability to operate under pressure. A Bachelor's degree in a relevant field is required, with a competitive salary range of $175,000 to $350,000.
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