Description
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 analyst will research stock selection signals, develop alpha models, and refine portfolio construction methodologies. The role also involves enhancing the team's research and analytics platforms and sharing responsibility for implementing and maintaining quantitative models in production as well as developing new models. The analyst will collaborate with fundamental research analysts and portfolio managers across the organization to exchange ideas, communicate insights, and broaden their expertise across various investment strategies.Key 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
Required Qualifications
Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field
Minimum 3 years of experience in quantitative investment research
Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field
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
Preferred Qualifications
CFA charterholder or candidate preferred
Visa Sponsorship
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).
In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Base Pay Salary
The estimated base salary for this role is $125,000- $140,000 / year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.Full-Time/Part-Time
Full timeExempt/Non-Exempt
ExemptJob Family Group
Investment ManagementLine of Business
AMINV US Asset ManagementQuantitative Analyst • Boston, Massachusetts
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