---
title: 'Quantitative Researcher (Full-Time - Master’s/Bachelor’s) at Radix Trading University Job Board'
canonical: 'https://feeny.ai/job/quantitative-researcher-full-time-master-s-bachelor-s-radix-trading-university-bvg5c8hsb8rc'
type: 'job'
last_seen: '2026-09-10'
---

# Quantitative Researcher (Full-Time - Master’s/Bachelor’s) at Radix Trading University Job Board

- **Company:** Radix Trading University Job Board
- **Location:** Chicago, IL / New York, NY / Amsterdam, Netherlands
- **Posted:** 2026-04-23
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/radixuniversity/jobs/8521642002

## Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.

As a Quantitative Researcher, your focus is on identifying trading opportunities, but 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 the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.

While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines.

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 (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. 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?
- 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 problem
- Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
- 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
- Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language

## About Radix Trading University Job Board

## Company Overview
- **One-liner**: Radix Trading is a privately funded research-driven proprietary trading firm that uses advanced machine learning and statistical methodologies to trade on major electronic markets globally.
- **Entity Type**: Private (bootstrapped/self-funded; does not accept outside investments)
- **Headquarters**: Chicago, Illinois, United States (with offices in New York, NY and Amsterdam, Netherlands)
- **Founded**: 2014
- **Founders**: Not publicly disclosed (led by industry veterans who previously built and managed some of the most profitable trading teams in the world)

## Core Business
- **Primary industry/industries**: Financial services – proprietary trading, quantitative research, high-frequency trading (statistical/alpha-driven, not pure speed)
- **Target customers**: Radix trades for its own account; no external clients. Its “customers” are the electronic exchanges on which it participates.
- **Mission or purpose statement**: “Building a new type of trading firm dedicated to research through open, collaborative innovation.”

## Products & Services
Radix Trading does not sell products to external customers; its internal offerings are its proprietary technology and research platforms:
- **Proprietary Automated Research Platform**: A cutting-edge system that enables rapid turnaround from idea inception to execution, continuously enhanced by the firm’s researchers and technologists.
- **Statistical Trading Strategies**: Machine learning and statistical models applied across North American, European, and Asian electronic markets.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held, no outside funding)
- **Key Metric**: Total headcount of approximately 150 employees (LinkedIn estimate, as of mid-2025)
- **Notable Investors/Partners**: None – the firm is entirely self-funded and does not accept external investments.
- **Growth Signals**: 
  - Year-over-year headcount growth of +6.6% (LinkedIn).
  - Talent sourced from top universities (University of Chicago, Princeton, Stanford) and leading quantitative firms (Jane Street, Citadel Securities, IMC Trading, Google).
  - Offices in three global financial hubs (Chicago, New York, Amsterdam).

## Competitive Advantages
- **Culture of Open Collaboration**: Fast turnaround from idea to execution, with a flat structure that encourages interdisciplinary input.
- **Statistical Focus Over Speed**: Explicitly differentiates from “flash”/high-frequency trading by emphasizing research and statistical edge.
- **Top-Tier Talent Pool**: Blends academics (undergraduates, PhDs, postdocs, professors) with experienced engineers from Silicon Valley and supercomputing specialists.
- **Experienced Leadership**: Led by veterans who previously built and managed some of the world’s most profitable trading teams.

## Strategic Focus
- Continue expanding research-driven strategies across global electronic markets.
- Maintain a privately funded, independent structure to avoid external pressure and focus on long-term research.
- Attract and retain interdisciplinary talent through a collaborative, intellectually rigorous environment.

## Why Work Here
- **Compensation & Culture**: Employee ratings show a 4.3/5.0 overall (23 reviews on LinkedIn), with compensation scoring 4.6/5.0 – a strong indicator of competitive pay.
- **Work Environment**: Rated 3.8/5.0 for both work-life balance and culture. The firm emphasizes near-immediate feedback on ideas and the opportunity to solve “really tough problems.”
- **Remote/Hybrid Policy**: Likely office-based (presence required in Chicago, New York, or Amsterdam). No explicit remote policy stated.
- **Notable Perks**: Discretionary variable compensation based on experience, effort, performance, innovation, and contribution. Access to a proprietary research platform and collaboration with some of the smartest people in the industry.
- **Engineering Culture**: Heavy use of C++, Python, Linux, SQL, and FPGA engineering (for hardware-focused roles). Strong DevOps and HPC systems teams.

## Sources
1. [radixtrading.co](https://radixtrading.co/)
2. [Greenhouse University Job Board](https://boards.greenhouse.io/radixuniversity/jobs/6870787002)
3. [LinkedIn Company Profile](https://www.linkedin.com/company/radix-trading)
4. [Greenhouse Job Listing for PhD+ Researcher](https://job-boards.greenhouse.io/radixuniversity/jobs/7463231002)

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