Consultant Data Analyst handling reporting automation projects at Primexis. Working on data - driven financial decisions with modern techniques and tools.
About the role
- 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
Benefits
- Health insurance
- 401(k)
- Vacation time
- Sick time
- Flexible work arrangements
- Professional development opportunities
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