Quantitative Researcher

6 days ago


Dubai, Dubai, United Arab Emirates Square Point Full time

At Squarepoint, we strive to push the boundaries of investment management by leveraging cutting-edge technology and scientific research. Our global presence in New York, London, and Singapore allows us to collaborate seamlessly across regions, fostering a culture of innovation and excellence.

Role Overview

  • We are seeking an exceptional Quantitative Researcher to join our team, focusing on developing and implementing advanced trading strategies within our automated framework.
  • This role involves analyzing large datasets using sophisticated statistical methods to identify profitable trading opportunities.
  • A deep understanding of market structures, various exchanges, and asset classes is essential for success in this position.
  • Critical thinking and attention to detail are crucial in ensuring that results are statistically significant and robust.

Day-to-Day Responsibilities

  • The primary focus will be on researching and implementing trading ideas, with a keen eye for optimizing performance.
  • Before the market opens, ensure all necessary data and processes are ready for the trading day.
  • During market hours, monitor strategy behavior and performance, making adjustments as needed.
  • Present results to your manager and engage in discussions on improvements, open questions, and future steps.

Required Skills and Qualifications

  • A strong quantitative background, encompassing degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics.
  • Proficiency in at least one major programming language (e.g., C++, Java, Python).
  • Excellent communication skills, enabling effective collaboration with colleagues worldwide.
  • The ability to work well under pressure, with a keen sense of time management.
  • Familiarity with instruments from at least one liquid non-equity asset class (futures, FX, cash treasuries) is highly desirable.
  • Experience working with intraday bar data and researching intraday trading opportunities is a plus.


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