Quantitative Researcher

4 weeks ago


Chicago, Illinois, United States Radix Trading Experienced Job Board Full time
Unlock the Power of Quantitative Research

As a Quantitative Researcher at Radix Trading, you'll be at the forefront of identifying trading opportunities and driving innovation. With a strong foundation in quantitative skills and coding proficiency, you'll accelerate the research process and help others leverage your work.

Over a six-month period, you'll collaborate on various projects with a diverse team of academics and professionals, gaining valuable knowledge and insight into market dynamics, trading strategies, and our proprietary research platform.

With a focus on mental diversity, our team welcomes individuals from a wide range of disciplines, including academia. Recent additions to our research team have come from esteemed institutions such as Princeton, Harvard, Stanford, and Oxford.

Competitive Compensation

We offer a competitive salary, plus a quarterly bonus based on individual performance and contribution to the success of others and the firm.

Key Qualifications
  • Persistent Drive to Improve: Demonstrate a desire to rise to the next level, even after great accomplishment.
  • Creative Problem Solving and Probabilistic Thinking: Enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset: Understand the value of collaboration and are committed to making the team better through sharing ideas.
  • Mental Flexibility & Self Awareness: Frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
  • Orientation for Making Money: Take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing efforts on what will create the most value for the firm.

Research / Quant Trading Strategy Skills

  • Strong intuition and deep thinking with data sets: Design new alphas, understand complex systems, and know where to start or ask others where to start.
  • Demonstrates strong 'hacking' ability to quickly get into data to look for empirical relationships and decipher noise or signal.
  • Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problems.
  • Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal.
  • Experience in setup of research framework and execution of projects.
  • Understanding of financial products, market dynamics, and microstructure.
  • Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language.


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