Radix Trading LLC

Position ID: 2289-QT [#18693]
Position Title: Quantitative Technologist
Position Type: Government or industry
Position Location: Chicago, Illinois 60654, United States [map]
Application Deadline: (posted 2021/10/20, listed until 2022/04/20)
Position Description:    

Quantitative Technologist

 

Company Description


Radix Trading is a proprietary firm focused on quantitative research and scientific trading. We’re one of the most active liquidity providers on electronic exchanges globally, and have leveraged a culture of open, collaborative innovation to scale the reach of our ideas and pace of iteration, without having to scale our headcount (currently, we’re around 95 people across Chicago, New York, and Amsterdam).


In our industry, the vast majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than the day prior, glean insights from each idea, and leverage individual contributions to the fullest across our entire organization. 


We’re led by Ben Blander and Michael Rauchman, who played key roles in the rise of electronic trading, but both recognized a major gap in the industry — a true focus on research processes coupled with an open organizational structure that fosters collaboration.


--------------------------


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. 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.


--------------------------


Why trading?


If you want to get near-immediate feedback on your best ideas, while leveraging cutting-edge technology, 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 our money -- and if we don’t stay at the very top of our 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


As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. 


We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 

 

Across the firm, there are ~35 technologists, bringing prior experience from some of the top teams across technology and trading, and by adding only a few new grads each year, we offer each a ton of responsibility, intimate mentorship from industry experts, and top tier compensation. Over the last two seasons we’ve added Quantitative Technologists with combined internship experience from Jane Street, NVIDIA, Google, Facebook AI, Lyft, IMC, AirBnB, Microsoft, Intel, Bloomberg, Amazon, and success in IOI, IMO, ICPC, and Putnam competitions.  


We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months. 


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


Qualifications

We’re looking for highly analytical people 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 accomplishments?

> 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 ideas and 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.


Software development skills to have or develop


> Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language

> Understanding of data structures, algorithmic complexities, and numerical algorithms

> Systems Architecture - knowledge and experience with distributed systems and communication

> Software Architecture - knowledge and experience working with a large code base

> Development Processes - experience delivering and deploying software in production environments


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

© 2021 MathJobs.Org, American Mathematical Society. All Rights Reserved.