Intermediate Quantitative Analyst

ameriprise; United States; Hybrid; USD 140,000 - 160,000; Full time

Job summary

Columbia Threadneedle Investments seeks a curious Quantitative Analyst to join its global team. You will research signals, build alpha models, and refine portfolio construction, working closely with analysts and PMs across regions to deliver robust investment insight.

You’ll contribute to production systems, share ownership of analytics platforms, and help shape investment approaches through data-driven research and collaboration.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or related field.
• Minimum 3 years of direct experience in quantitative investment research, including development and testing of stock signals or alpha models.
• Strong knowledge of equity markets, factor investing, and portfolio construction; high intellectual curiosity.

Responsibilities

• Research and develop stock selection signals and alpha models.
• Implement and maintain models in production; monitor performance.
• Collaborate with portfolio managers and analysts; present findings to stakeholders.

Skills

Quantitative research

Python/R

Statistical modeling

Machine learning

Portfolio construction

Communication

Education

Bachelor’s degree in Mathematics/Statistics/Finance/Economics

Tools

Python

R

Large datasets

Job description

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

Columbia Threadneedle Investments is a global investment firm with teams across North America, Europe, and Asia Pacific. Our Quantitative Equity Research team is looking for a curious, driven Quantitative Analyst to join us. We build and maintain a suite of stock selection models that power both systematic and fundamental strategies throughout the firm. In this role, you will research new signals, develop alpha models, and refine our portfolio construction methods. You will also play a hands‑on part in shaping the research and analytics platforms we rely on every day and share ownership of the models we run in production. Working closely with fundamental analysts and portfolio managers across the globe, you will exchange ideas and insights while broadening your expertise across a wide range of investment approaches. If you enjoy solving investment problems with data and want to grow alongside a collaborative team, we would love to hear from you.

Responsibilities

• Research and Model Development

  • Contribute to research projects spanning idea generation, data preparation, statistical analysis, and actionable recommendations
  • Evaluate innovative techniques for extracting tradable signals from large datasets
  • Develop alpha models and refine portfolio construction methodologies

• Production and Monitoring

  • Share ownership of implementing and maintaining the team's models in production
  • Enhance the team's research infrastructure and analytics platforms
  • Monitor and analyze factor and model performance, and conduct due diligence on model output

• Communication and Collaboration

  • Collaborate with portfolio managers and fundamental analysts across the firm, exchanging ideas, sharing regular performance insights, and responding to their inquiries
  • Present research findings to key stakeholders and develop thought leadership content

Qualifications

• Experience and Technical Skills

  • Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field
  • Minimum 3 years of direct experience in quantitative investment research, including hands-on development and testing of stock selection signals or alpha models
  • Solid grasp of equity markets, factor investing, and portfolio construction, coupled with strong intellectual curiosity
  • Deep knowledge of statistical modeling, econometric analysis, and machine learning, with demonstrated ability to apply these techniques to investment problems
  • Strong programming proficiency in Python, R, or similar languages, including experience working with large financial datasets
  • Advanced problem-solving and critical thinking skills, with the ability to frame research questions, challenge assumptions, and separate robust signals from noise

• Professional Attributes

  • Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both quantitative and fundamental audiences
  • Self-directed, with a track record of owning research projects from initial idea through production
  • High standards of professionalism and reliability, with keen attention to detail and consistent delivery of accurate work on schedule
  • Collaborative working style and strong interest in building a long-term career in quantitative investing
  • CFA charterholder 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 $140,000- $160,000 / year. We