Quantitative Researcher (Full-Time - PhD+)

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:

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University

• 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