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 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.

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

Qualifications:

Bachelor's degree in a Mathematics, Statistics, Finance, Economics, or related field
Minimum 3 years of experience in quantitative investment research
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
CFA charterholder or candidate preferred

About Our Company
We're a diversified financial services leader with more than $1 trillion in assets under management and administration as of 2022. Our team of 20,000 people in more than 20 countries, advise and manage assets and income of more than 2 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 RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

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.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Investment Management

Line of Business

AMINV US Asset Management