Quantitative Analyst developing stock selection models for systematic and fundamental investment strategies at Columbia Threadneedle Investments. Collaborating with analysts and portfolio managers to enhance research and analytics platforms.
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
Requirements
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
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
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
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States
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