The Quantitative Equity Research team at Columbia Threadneedle Investments is looking to solve the problem of developing and maintaining a comprehensive suite of stock selection models that generate insights for both systematic and fundamental investment strategies.
Requirements
- Advanced analytical and quantitative problem-solving skills
- Strong programming skills with proficiency in Python, R, SQL, or similar data analysis languages
- Proficiency in data analysis languages
- Experience with quantitative analysis, financial modeling, or related analytical role
- Knowledge of statistical analysis and data preparation
- Experience with research infrastructure, production systems, and analytics capabilities
- Familiarity with factor and model performance analysis
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
- 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
Other
- 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
- 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
