Quantitative Equity Research Co-op | ML & Signal Modeling

Columbia-Threadneedle-Investments; Boston (MA); On-site; USD 43,000 - 50,000; Full time

Job summary

Columbia Threadneedle Investments in Boston is seeking a Quantitative Equity Research Co-op to support systematic equity strategies. You will apply quantitative analysis, develop stock signals, and assist portfolio implementation on a team of seven investment professionals.

This six-month program offers hands-on experience across the investment process, opportunities to work with data science and technology partners, and exposure to machine learning techniques for investment signals.

Qualifications

• Pursuing a bachelor’s degree in statistics, applied mathematics, quantitative finance, economics, computer science, business, or related field.
• Graduation date of December 2027 or May/June 2028.
• Strong interest in the investment management industry and data-driven research.

Responsibilities

• Monitor and analyze factor and model performance.
• Present research findings to team members and stakeholders.
• Collaborate with investment teams, data science, and technology partners.
• Pre-process large data sets for signal processing and model estimation.
• Apply machine learning and generative AI techniques to uncover investment signals.
• Contribute to the team’s development of advanced investment analytics.

Skills

Analytical thinking

Attention to detail

Communication

Time management

Problem solving

Organization

Education

Bachelor's degree (Statistics / Applied Mathematics / Quantitative / Economics / Computer Science / Business)

Tools

R

Python

SQL

Job description

Columbia Threadneedle Investments in Boston is seeking a Quantitative Equity Research Co-op to support systematic equity strategies. You will apply quantitative analysis, develop stock signals, and assist portfolio implementation on a team of seven investment professionals.

This six-month program offers hands-on experience across the investment process, opportunities to work with data science and technology partners, and exposure to machine learning techniques for investment signals.