About Us

Radix Trading is a research firm, powered by technology and monetized through trading. Our focus is building a new type of trading firm dedicated to research through targeted collaboration and vast ingenuity. We’re constantly evolving our strategies and developing new ones through innovative machine learning and statistical methodologies.

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.

We operate in Chicago, New York, and Amsterdam, and participate on major electronic markets across North America, Europe and Asia. As a privately-funded company, we do not accept outside investments.

Who We Are

We are led by industry veterans who previously built and managed some of the most profitable trading teams in the world.

We have built a diverse team by blending interdisciplinary academics (undergraduate, PhD, Postdoc, and Professors) from top universities around the world with experienced researchers and seasoned technologists, including supercomputer specialists, senior engineers from Silicon Valley tech companies, and contributors to the C++ Standards Committee.

University Graduates

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. You will be part of the team that competes every day with some of the smartest, most driven people in the world.

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

We are building a new type of trading firm dedicated to research through open, collaborative innovation. We are adding new associates into these roles:

Quantitative Technologist

Your goal is to enhance alpha generation and improve the research infrastructure through technology innovation. You’ll also be expected to have a strong interest in understanding and contributing to our trading strategies.

    Software Development Skills

  • 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

    • Contact us at university@radix-trading.com for more information.

Quantitative Researcher

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.

    Research Skills

  • Strong intuition and deep thinking with data sets - designs new predictive signals
  • Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with statistical and machine learning techniques and knows when and how to apply them; will seek out and learn new methods to better solve problems
  • Constantly questions finance/trading data and stays motivated to seek answers
  • Understanding of financial products, market dynamics, and microstructure

    • Contact us at university@radix-trading.com for more information.

Trade Operations Developer

Be the architect responsible for building tools to support post-trade analysis. In this role, you will be expected to deliver on key operational milestones by leveraging communication, technical, and organizational skills.

    Technical Skills

  • Strong Python programming capabilities, including data structure design and implementation
  • Demonstrate proficiency in SQL
  • Detail oriented and can analyze details of contracts, agreements, and other finance or trading data
  • Capable of multitasking and prioritizing through different objectives without sacrificing quality solutions
  • Analytical and aim to create thoughtful solutions

    • Contact us at university@radix-trading.com for more information.

Experienced Applicants

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. You will be part of the team that competes every day with some of the smartest, most driven people in the world.

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

We are building a new type of trading firm dedicated to research through open, collaborative innovation. We are adding new associates into these roles:

Quantitative Technologist

Your goal is to enhance alpha generation and improve the research infrastructure through technology innovation. You’ll also be expected to have a strong interest in understanding and contributing to our trading strategies.

    Software Development Skills

  • 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

    • Contact us at experienced@radix-trading.com for more information.

Quantitative Researcher

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.

    Research Skills

  • Strong intuition and deep thinking with data sets - designs new predictive signals
  • Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with statistical and machine learning techniques and knows when and how to apply them; will seek out and learn new methods to better solve problems
  • Constantly questions finance/trading data and stays motivated to seek answers
  • Understanding of financial products, market dynamics, and microstructure

    • Contact us at experienced@radix-trading.com for more information.

Trade Operations Developer

Be the architect responsible for building tools to support post-trade analysis. In this role, you will be expected to deliver on key operational milestones by leveraging communication, technical, and organizational skills.

    Technical Skills

  • Strong Python programming capabilities, including data structure design and implementation
  • Demonstrate proficiency in SQL
  • Detail oriented and can analyze details of contracts, agreements, and other finance or trading data
  • Capable of multitasking and prioritizing through different objectives without sacrificing quality solutions
  • Analytical and aim to create thoughtful solutions

    • Contact us at experienced@radix-trading.com for more information.

Contact Us

353 N Clark St, Suite 1600, Chicago, IL, 60654, USA

100 Park Ave, Suite 2205, New York, NY, 10017, USA

Strawinskylaan 1217, 1077 XX, Amsterdam, NL

+1 773-906-8121

For inquiries on internships, please email:
university@radix-trading.com
For applicants with work experience, please email:
experienced@radix-trading.com
For any other inquiries, please email:
hr@radix-trading.com

Disclosures

Remuneration Policy

The remuneration policy of Radix Trading Europe B.V. is carefully prepared according to all applicable laws and regulations, taking into account the values, principles and strategy of the company. The variable component of the remuneration of employees is discretionary and based on a number of components such as: experience, effort, performance, innovation and contribution.