Quantitative Equity Researcher (Signals & Models)

Columbia Threadneedle Investments; Boston (MA); Hybride; USD 140 000 - 160 000; Plein temps

Résumé du poste

Columbia Threadneedle Investments is seeking a Quantitative Analyst for its Boston team. You will research signals, develop alpha models, and refine portfolio construction while collaborating with global analysts and portfolio managers.

You will contribute to production-ready models, enhance analytics infrastructure, and monitor model performance in a data-driven, collaborative environment.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
• Minimum 3 years of direct experience in quantitative investment research, including signal or alpha model development.
• Strong grasp of equity markets, factor investing, and portfolio construction.
• Deep knowledge of statistical modeling, econometric analysis, and machine learning.
• Proficiency in Python or R with large financial datasets.

Responsabilités

• Contribute to research projects spanning idea generation, data preparation, and statistical analysis.
• Evaluate techniques for extracting tradable signals from large datasets.
• Develop alpha models and refine portfolio construction methodologies.
• Share ownership of production-ready models and enhance analytics platforms.
• Collaborate with portfolio managers and analysts and present findings.

Connaissances

Statistical modeling

Econometrics

Machine learning

Python/R programming

Data analysis

Formation

Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field

Outils

Python

R

Large financial datasets

Description du poste

Columbia Threadneedle Investments is seeking a Quantitative Analyst for its Boston team. You will research signals, develop alpha models, and refine portfolio construction while collaborating with global analysts and portfolio managers.

You will contribute to production-ready models, enhance analytics infrastructure, and monitor model performance in a data-driven, collaborative environment.