Associate Quantitative Equity Analyst

Associate Quantitative Equity Analyst, Columbia Threadneedle Investments

The Quantitative Equity Research team at Columbia Threadneedle Investments is looking to add a full-time Associate Quantitative Equity Analyst to our close-knit, collaborative team of six. The team develops and maintains a comprehensive suite of stock selection models that generate insights for both systematic and fundamental investment strategies. The role involves researching stock selection signals, developing alpha models, and optimizing portfolio construction methodologies.

The analyst will conduct data-driven analyses, enhance the team's research and analytics platforms, and share responsibility for implementing and maintaining quantitative models. This position offers comprehensive exposure to quantitative finance while providing opportunities to make meaningful contributions to the team's success. The analyst will collaborate with fundamental research analysts and portfolio managers across the organization to exchange ideas, communicate insights, and expand their expertise across various investment strategies.

• 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 provide regular insights within the firm.
• Validate model output and address inquiries from investment teams.
• Collaborate closely with investment teams, data science, and technology partners to support research initiatives and model implementation.

• Bachelor’s degree in mathematics, statistics, finance, economics, or related field.
• 1–3 years of experience in quantitative analysis, financial modeling, or related analytical role.
• Advanced analytical and quantitative problem‑solving skills.
• Strong programming skills with proficiency in Python, R, SQL, 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.
• Attention to detail, accuracy, and timeliness, and a cooperative can‑do attitude.
• CFA designation or progress toward CFA preferred.

We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer.

Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and River Source Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

The estimated base salary for this role is $98,130—$134,930 per year. Pay is variable and may increase based on knowledge, skills, experience and location. In addition, most roles are eligible for variable pay in the form of bonus, commissions and/or long‑term incentives. We also provide a comprehensive benefits program that supports all aspects of health and well‑being, including vacation time, sick time, 401(k) and health, dental and life insurance.

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.