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Quantitative Equity Analyst

Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Columbia-Threadneedle-Investments
Remote/Work from Home position
Listed on 2026-07-15
Job specializations:
  • Finance & Banking
    Financial Analyst, Financial Advisor / Consultant, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 140000 USD Yearly USD 125000.00 140000.00 YEAR
Job Description & How to Apply Below
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 River Source Insurance and Annuities.

Job Description The Quantitative Equity Research team at Columbia Threadneedle Investments is seeking a Quantitative Analyst. The team develops and maintains a comprehensive suite of stock selection models that generate insights for both systematic and fundamental investment strategies. The analyst will research stock selection signals, develop alpha models, and refine portfolio construction methodologies. The role also involves enhancing the team's research and analytics platforms and sharing responsibility for implementing and maintaining quantitative models in production as well as developing new models.

The analyst will collaborate with fundamental research analysts and portfolio managers across the organization to exchange ideas, communicate insights, and broaden their expertise across various investment strategies.

Key Responsibilities Contribute to research projects through idea generation, data preparation, statistical analysis, and development of actionable recommendations

Evaluate innovative techniques to extract tradable signals from large datasets

Research and develop advanced model construction methodologies

Enhance the team’s research infrastructure, production systems, and analytics capabilities

Present research findings to key stakeholders and develop thought leadership content

Monitor and analyze factor and model performance, and providing regular insights within the firm Perform due diligence on model output, and address inquiries from investment teams

Required Qualifications Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field

Minimum 3 years of experience in quantitative investment research

Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field

Deep understanding of statistical modeling, econometric analysis, and machine learning approaches, with demonstrated ability to apply these techniques to investment problem

Advanced analytical and quantitative problem-solving skills

Strong programming skills with proficiency in Python, R, or similar data analysis languages

Excellent written and verbal communication skills with ability to explain technical concepts effectively

Demonstrated intellectual curiosity and passion for financial markets

Keen attention to detail with track record of delivering accurate work within deadlines

Collaborative mindset with proven ability to work effectively in a team environment

Preferred Qualifications CFA charter holder or candidate preferred

Visa Sponsorship Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).In-Office Collaboration We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders.

Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary The estimated base salary for this role is…
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