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Quantitative Investment Research Co-op (Equities)

Ameriprise Financial

Boston, MassachusettsInternshipInternH-1B sponsor company
Sign in to applyVerified 2h ago
Location
Boston, Massachusetts
Employment
Internship
Work model
On-Site
Level
Intern
H-1B history
42 approvals (FY2023)
Posted
Sep 14, 2026

Skills

Machine LearningPythonSQL

About this role

About Our Company Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses. We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.

Job Description

Please note that applications will be assessed on a rolling basis. Due to anticipated interest, the role may close earlier than the stated deadline. We recommend submitting your application promptly. The advertised closing date is October 3, 2026. At Ameriprise Financial, Columbia Threadneedle Investments, and RiverSource,   we're   committed to helping early-career talent grow through meaningful work and practical learning. Whether   you're   joining us as an Intern or Leadership Development Program participant,   you'll   work alongside experienced colleagues, contribute fresh perspectives, and gain exposure to the people, projects, and experiences that drive our business forward.       Guided by our values of excellence in all we do and respect for individuals and our communities, participants will have opportunities to connect with Executive Leadership through our ELT Speaker Series, gaining insights from senior leaders across the business, while also making a positive impact through our annual volunteering day.      This is an exciting opportunity to develop your skills, expand your network, and explore   what's   possible across a global financial services organization.

About the Role

As a Quantitative Equity Research Co-op, you will work with researchers and portfolio managers supporting systematic equity strategies. You will apply quantitative analysis, technology, and creativity to research investment ideas, develop stock selection signals, and support portfolio implementation.     This six-month co-op provides hands-on experience across the quantitative investment process and the opportunity to contribute directly to active research initiatives on a team of seven investment professionals.

Key Responsibilities

Monitor and analyze factor and model performance and contribute to regular performance reporting   Present research findings to team members and key stakeholders   Collaborate with investment teams, data science, and technology partners to support research initiatives   Work independently on impactful research and development projects.   Pre-process large data sets for signal processing and model estimation, including validation, cleaning, normalization, dimension reduction and visualization.   Apply innovative techniques such as machine learning and generative artificial intelligence to uncover differentiated investment signals and enrich our stock selection models.   Contribute to the team’s development of advanced investment analytics.   Work with portfolio managers to analyze market dynamics and their impact on factor behavior and portfolio performance.

Required 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   Passionate about the investment management industry and dedication to being a part of a successful team.     Preferred Qualifcations Proficient programming skills in R, Python, SQL, or similar   High degree of self-motivation with strong integrity and ethics   Attention to detail

Listing verified 2h ago. Applications go through the company's official careers site.

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