Ameriprise
Fintech & PaymentsDirect Workday career site

Intermediate Quantitative Analyst

Pay
$140,000 – $160,000 per year
Location
Boston, MA · On-site
Job type
Full-time
Level
Mid-level
Experience
3+ years
Education
Bachelor's degree
Listed
22 days ago

Skills & highlights for this role

  • CFA
  • Python
  • R
  • statistical modeling
  • econometrics
  • machine learning

Also useful

  • portfolio construction
  • large financial datasets

About the 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.

About the role

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

Pay and benefits

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 have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location.

In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Investment Management Line of Business AMINV US Asset Management Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities.

We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential. We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities.

Read the original posting

From Ameriprise's careers page, first listed on Rolev.ai on October 18, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Intermediate Quantitative Analyst role at Ameriprise?

The Intermediate Quantitative Analyst posting at Ameriprise states compensation of $140,000 – $160,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Ameriprise's official career site.

Where is the Intermediate Quantitative Analyst job at Ameriprise located?

This Intermediate Quantitative Analyst position at Ameriprise is located in Boston, MA (On-site). Always check Ameriprise's application page for specific state eligibility or relocation policies.

What qualifications are required for Intermediate Quantitative Analyst at Ameriprise?

For the Intermediate Quantitative Analyst role, Ameriprise highlights 3+ years of relevant experience; a bachelor's degree; experience with Python, R, statistical modeling, econometrics, machine learning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Intermediate Quantitative Analyst position at Ameriprise?

This listing links directly to Ameriprise's Workday application page. You can apply directly on Ameriprise's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.