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About the Role

As a Quantitative Researcher, your focus is on identifying trading opportunities. You will add value with strong quantitative skills and coding proficiency to accelerate innovation and help others leverage your work. You will gain knowledge and insight into market dynamics, trading strategies, and our proprietary research platform through various projects. You will have opportunities to contribute and directly affect the firm's bottom line within your first few weeks.

Responsibilities

• Identifying trading opportunities
• Accelerating the innovation process
• Helping others leverage your work
• Gaining knowledge and insight into market dynamics, trading strategies, and our proprietary research platform
• Contributing and directly affecting the firm's bottom line
• Designing new alphas
• Understanding complex systems
• Getting into data to look for empirical relationships and decipher noise or signal
• Applying classical statistical methods rigorously
• Learning and applying new statistical methods
• Working on Applied Machine Learning Problems
• Questioning finance/trading data and seeking answers
• Setting up research frameworks
• Executing research projects
• Understanding financial products, market dynamics, and microstructure

Requirements

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
• Persistent Drive to Improve
• Creative Problem Solving and Probabilistic Thinking
• Team Mindset
• Mental Flexibility & Self Awareness
• Orientation for Making Money
• Research / Quant trading strategy skills to have or develop
• Strong intuition and deep thinking with data sets
• 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 problems
• Experience in setup of research framework and execution of projects
• 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

Skills

• Quantitative skills
• Coding proficiency
• Market dynamics
• Trading strategies
• Creative Problem Solving
• Probabilistic Thinking
• Data-driven approach
• Hacking approach to testing ideas
• Deep thinking with data sets
• Classical statistical methods
• Modern AI techniques and methods
• Applied Machine Learning
• Programming in Low-level computer languages (like C++)

Experience Level

• PhD Student
• Postdoc
• Professor
• Advanced research position

Education Level

• PhD

Salary/Compensations

• Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

About the Company

• We are a research-driven trading firm.
• Our team is built mostly from academia.
• We seek mental diversity and add a select group of academics each year from a wide range of disciplines.