The Research Engineering Intern (REI) works closely with our researchers and engineers in analyzing and developing investment ideas and operations solutions.

The selection of the project considers our business needs as well as the intern’s skills and interests. Sample projects include using machine learning and/or new data in our investment process. Typical responsibilities involve data analysis, software programming, and presentations. The successful intern will gain valuable experience working alongside seasoned quants in a supportive, dynamic work environment.

The internship will expose the individual to areas such as, but not limited to:

• Collecting, analyzing and interpreting data
• Implementing and testing mathematical models
• Presenting findings and participating in team meetings

Candidates must meet the following required qualifications:

• Bachelor’s degree in a quantitative field (e.g., Financial Engineering, Computer Science, Mathematics)
• Currently enrolled in an advanced degree program (Master’s or Ph.D.) in a similar field
• Expertise in at least one common programming language (e.g., Python, Java, C/C++, .NET, MATLAB)
• Strong mathematical and analytical skills
• Interest in financial markets and/or quantitative investing
• Excellent interpersonal skills and ability to succeed in a team-based collaborative environment.
• Effective verbal and written communications skills
• Self-motivated and possessing a solid work ethic
• Ability to work in a dynamic, fast-paced environment
• Strong attention to detail

Ideal candidates will also have the following qualifications:

• Strong background or hands-on experience in machine learning methods
• Knowledge in database and prior experience working with large or complex data sets
• Experience with open source projects
• Experience with finance and/or quantitative investing