Summer 2026

Quantitative Technologist C++ Intern

Radix Trading

Radix Trading

51-200 employees

Research-focused trading firm using machine learning

No salary listed

Chicago, IL, USA

In Person

Category
Quantitative Finance (2)
,
Required Skills
Data Structures & Algorithms
Machine Learning
C/C++
Requirements
  • Persistent Drive to Improve - innate desire to rise to the next level after great accomplishments
  • 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 1+1 > 2 and are committed to making the team better through sharing ideas as they are driven to improve their individual performance
  • Mental Flexibility & Self Awareness - frequently adapt based on new data, results, and feedback on ideas and performance
  • Orientation for Making Money - work is not an academic exercise; hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing on what will create the most value for the firm
  • 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
  • C++ is the language you will be using for your projects during your summer with us
  • 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
Responsibilities
  • As a C++ Quantitative Technologist Intern, you will gain experience working on 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.
  • We provide intern projects that we know will add real value to the firm, while encouraging exploration and independent approaches to improve inefficiencies, propose iterations, and own significant processes during your internship.

Radix Trading is a research-driven trading firm that uses machine learning and statistical methods to develop and monetize trading strategies. It operates in major electronic markets across North America, Europe, and Asia, supported by a proprietary automated research platform and continuously evolving strategies. The firm distinguishes itself by private funding with no outside investors, an open culture that favors rapid idea execution, and a team of interdisciplinary academics and technologists focused on longer-horizon, statistically driven opportunities rather than traditional high-frequency trading. Its goal is to generate returns by deploying advanced, independently developed trading strategies that stay ahead of the competition in electronic markets.

Company Size

51-200

Company Stage

Private

Total Funding

N/A

Headquarters

Chicago, Illinois

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • FIA membership boosts visibility and networking in derivatives markets.
  • Amsterdam office since August 2017 leverages post-Brexit regulatory advantages.
  • Co-founders Benjamin Blander and Michael Rauchman bring Citadel and GETCO expertise.

What critics are saying

  • Jane Street captures 25% more volume, eroding Radix's arbitrage profits.
  • CFTC targets manipulative patterns, imposing $50M fines and strategy bans.
  • Talent exodus to Hudson River Trading's $900k packages depletes research team.

What makes Radix Trading unique

  • Radix Trading employs machine learning and statistical methods beyond high-frequency trading.
  • Privately funded structure enables independent strategy development without investors.
  • Interdisciplinary team of academics and technologists drives automated research platform.

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Benefits

Performance Bonus