Columbia Threadneedle Investments · 11 hours ago
Investments Internship - Quantitative Research
Columbia Threadneedle Investments is a diversified financial services leader with over $1.5 trillion in assets under management. They are seeking a summer intern for their Investments Internship in Quantitative Research, where the intern will work with researchers and portfolio managers to conduct impactful research, analyze data, and contribute to investment analytics.
Asset ManagementConsultingFinancial Services
Responsibilities
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
Qualification
Required
Pursuing a bachelor's degree in finance, Quantitative, Economics, Computer Science, Statistics, Applied Mathematics, Business, or related field
Graduation date of December 2026 or May/June 2027
Passionate about the investment management industry and dedication to being a part of a successful team
Preferred
Proficient programming skills in R, Python, SQL, or similar
High degree of self-motivation with strong integrity and ethics
Attention to detail
Excellent communication, interpersonal, and presentation skills
Ability to multi-task, problem solve independently and think creatively
Proven organization skills and ability to manage time effectively
Benefits
Vacation time
Sick time
401(k)
Health, dental and life insurance
Company
Columbia Threadneedle Investments
Columbia Threadneedle Investments is an asset management firm.
Funding
Current Stage
Late StageRecent News
2026-01-09
2026-01-09
2025-12-21
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