Radix Trading LLC

Position ID: 2289-QR [#13927]
Position Title: Quantitative Researcher
Position Type: Government or industry
Position Location: Chicago, Illinois 60654, United States [map]
Application Deadline: (posted 2019/05/15, updated 2019/08/23, listed until 2019/11/15)
Position Description:    

Quantitative Researcher

Company description:

Radix Trading is a research-driven, proprietary trading firm in Chicago and Amsterdam led by Ben Blander and Michael Rauchman.


  • Ben Blander - former head of Citadel’s high frequency group and a key contributor in growing their P&L from $75 million in 2005 to $1.15 billion in 2008 (Source: http://www.cnbc.com/id/39099331) Previously Ben earned a PhD in Math (Algebraic Topology under Peter May) from the University of Chicago.

  • Michael Rauchman - formerly GETCO's CTO, head of Americas equities, and global head of ForEx. As a hands-on leader, Michael was instrumental in the development of many trading strategies as well as the underlying architecture and code.


Mental diversity is a primary focus of ours, and our makeup includes PhDs, Postdocs, and Professors across math, physics, stats, cs, aero astro, and many more disciplines from institutions like: Princeton, NYU, Harvard, MIT, Columbia, UPenn, UChicago, Cambridge, Rice, Waterloo, and UCLA.

Our culture of openness enables fast turnaround from idea inception to execution, and continuous enhancement of our cutting-edge proprietary technology and automated research platform.

Why trading?

If you want to work on cutting-edge technology to solve really tough problems, while getting near-immediate feedback on your best ideas, the trading industry is hard to beat. Every day we’re competing with some of the smartest, most driven people in the world trying to take your money -- and if you don’t stay at the very top of your game in research, technology, and economics, they will.

And while the highly-publicized wave of high-frequency or “flash” trading based on sheer speed of execution might have reached its limit, we see continued opportunities with our strategy of using statistical research to outsmart the competition.

Job description

While the focus is on identifying trading opportunities, you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. By working on a variety of projects with different collaborators over a six-month period, you will gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform.

COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.


We’re looking for highly analytical people (math, physics, computer science, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. And to do that, you’ll need the following qualities:

  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment? Our people have been very successful in their careers elsewhere and are joining Radix to make even more impact.

  • Creative Problem Solving and Probabilistic Thinking - You must 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 - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.

  • Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.

  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

  • Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows 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

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:

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