Quantitative Researcher (Full-Time - Master’s/Bachelor’s)

Radixuniversity; Chicago (IL); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Quarterly bonus based on performance

Job summary

Radixuniversity is seeking a Quantitative Researcher to identify trading opportunities using strong quantitative skills and coding proficiency. You will work on diverse projects, gaining insights into market dynamics while impacting our success from early on.

The ideal candidate values collaboration and mental flexibility, with a passion for solving complex problems. Skills in programming and statistical analysis are key.

Qualifications

• Strong intuition with data sets and ability to design new alphas.
• Demonstrates hacking ability to find empirical relationships.
• Familiarity with statistical methods and eagerness to learn new techniques.

Responsibilities

• Identify trading opportunities through data analysis.
• Contribute to projects and collaborate with team members.
• Adapt and improve based on data and feedback.

Skills

Creative Problem Solving

Data-driven Decision Making

Teamwork

Statistical Analysis

Programming in C++

Job description

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

• 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