Quantitative Analyst

2 weeks ago

Washington, United States Radix Trading LLC Full time
Position Overview

As a Quantitative Researcher at Radix Trading LLC, you will concentrate on uncovering trading opportunities while leveraging your robust quantitative skills and coding knowledge to enhance the innovation process and assist colleagues in utilizing your findings.

Project Engagement

During a six-month engagement, you will collaborate on diverse projects with various partners, acquiring valuable insights into market dynamics, trading methodologies, and our proprietary research tools.

Our environment is designed to eliminate barriers, allowing you to explore the complexities of our industry while contributing meaningfully to our success from the outset.

Team Composition

While a passion for trading is essential, a finance background is not mandatory. Our team primarily comprises individuals from academic backgrounds—professors, postdoctoral researchers, PhDs, and undergraduates—bringing together a rich tapestry of intellectual diversity.

Compensation

We offer a competitive salary along with a quarterly bonus that reflects individual performance and contributions to the team's overall success.

Qualifications

We seek analytical individuals (from fields such as mathematics, physics, computer science, statistics, electrical engineering, etc.) who aspire to shape the future of research-driven trading.

Key Attributes Required:
  • Persistent Drive to Improve: A natural inclination to strive for excellence, even after achieving significant milestones.
  • Creative Problem Solving: Enjoyment in learning and swiftly applying new concepts, integrating knowledge from various fields to innovate, and employing a data-driven approach to testing ideas.
  • Team-Oriented Mindset: A commitment to enhancing team performance through collaboration and idea sharing.
  • Mental Flexibility: The ability to adapt based on new data, results, and feedback.
  • Profit Orientation: While we value academic credentials, our focus is on practical application, emphasizing a pragmatic approach to testing ideas and prioritizing high-value projects.
Research and Quantitative Skills:
  • Strong analytical intuition and the ability to navigate complex datasets.
  • Proficiency in identifying empirical relationships and distinguishing between noise and signal.
  • Familiarity with classical statistical methods and a willingness to learn and apply new techniques.
  • Experience with modern AI methodologies or a desire to engage in applied machine learning projects is advantageous.
  • A questioning attitude towards financial data, with motivation to uncover insights.
  • Experience in establishing research frameworks and executing projects.
  • Understanding of financial instruments, market behavior, and microstructure.
  • Proficiency in programming languages such as C++, Python, or Java, with an understanding of their nuances to tackle complex challenges.

Application Requirements:

  • Upload your unofficial undergraduate transcript.
  • Upload your unofficial graduate transcript.
  • Upload any additional transcripts.

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