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.
What you'd do
- 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.
What they want
- 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.
- Starts
- 2026-09-14