Hybrid Quantitative Analyst - Alpha Signals & Production

00036 Columbia Mgmt Invst Adv LLC; Boston (MA); On-site; USD 140,000 - 160,000; Full time

Job summary

Columbia Threadneedle Investments is seeking a curious Quantitative Analyst to join the Quantitative Equity Research team. You will research signals, develop alpha models, and refine portfolio construction while working closely with fundamental analysts and portfolio managers across the globe.

The role emphasizes hands-on model production, production monitoring, and contributing to research platforms. A strong background in statistics and programming (Python or R) is required, with 3+ years of

Qualifications

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
• Minimum 3 years of direct experience in quantitative investment research, including hands-on development and testing of stock selection signals or alpha models.
• Deep knowledge of statistical modeling, econometric analysis, and machine-learning, with demonstrated ability to apply these techniques to investment problems.
• Strong programming proficiency in Python, R, or similar languages, including experience working with large financial datasets.

Responsibilities

• Research and Model Development: Contribute to research projects spanning idea generation, data preparation, statistical analysis, and actionable recommendations.
• Production and Monitoring: Share ownership of implementing and maintaining the team's models in production.
• Communication and Collaboration: Collaborate with portfolio managers and fundamental analysts across the firm, exchanging ideas, sharing regular performance insights, and responding to their inquiries.

Skills

Python

R

Statistics

Econometrics

Machine Learning

Education

Bachelor's degree in Mathematics, Statistics, Finance, Economics

CFA charterholder or candidate preferred

Job description

Columbia Threadneedle Investments is seeking a curious Quantitative Analyst to join the Quantitative Equity Research team. You will research signals, develop alpha models, and refine portfolio construction while working closely with fundamental analysts and portfolio managers across the globe.

The role emphasizes hands-on model production, production monitoring, and contributing to research platforms. A strong background in statistics and programming (Python or R) is required, with 3+ years of