Quantitative Investment Research Co-op – Equities

Jobtailor; Boston (MA); On-site; USD 25,000 - 39,000; Full time

Job summary

Jobtailor in Boston, MA is offering a student-focused research internship in quantitative investment research. You will collaborate with researchers and portfolio managers to develop signals for systematic equity strategies and contribute to performance analytics.

The role emphasizes applying machine learning to enhance stock selection models, preprocessing large datasets, and presenting findings to stakeholders.

Qualifications

• Pursuing a bachelor's degree in Statistics, Applied Mathematics, Quantitative Finance, Economics, Computer Science, Business, or related field
• Graduation date of December 2027 or May/June 2028
• Valid work authorization that does not now or in the future require visa sponsorship for employment in the United States
• Proficient programming skills in R, Python, SQL, or similar
• Experience with large dataset manipulation and statistical analysis
• Passion for the investment management industry
• Strong integrity and ethics
• Attention to detail
• Excellent communication, interpersonal, and presentation skills
• Ability to multitask, solve problems independently, and think creatively
• Proven organizational skills and ability to manage time effectively

Responsibilities

• Support researchers and portfolio managers working on systematic equity strategies
• Apply quantitative analysis, technology, and creativity to research investment ideas
• Develop stock selection signals and support portfolio implementation
• Monitor and analyze factor and model performance
• Contribute to regular performance reporting
• Present research findings to team members and key stakeholders
• Collaborate with investment teams, data science, and technology partners
• Work independently on research and development projects
• Pre-process large datasets for signal processing and model estimation, including validation, cleaning, normalization, dimension reduction, and visualization
• Apply machine learning and generative artificial intelligence to uncover investment signals and enrich stock selection models
• Contribute to advanced investment analytics
• Work with portfolio managers to analyze market dynamics and their impact on factor behavior and portfolio performance

Skills

Quantitative Analysis

Machine Learning

Data Manipulation

Statistical Analysis

Presentation Skills

Attention to Detail

Problem Solving

Creativity

Organizational Skills

Interpersonal Skills

Education

Bachelor's degree in Statistics/Applied Mathematics/Quantitative Finance/Economics/CS/Business

Tools

R Programming

Python Programming

SQL

Data Visualization

Signal Processing

Model Estimation

Dimension Reduction

Data Cleaning

Data Normalization

Job description

• Support researchers and portfolio managers working on systematic equity strategies
• Apply quantitative analysis, technology, and creativity to research investment ideas
• Develop stock selection signals and support portfolio implementation
• Monitor and analyze factor and model performance
• Contribute to regular performance reporting
• Present research findings to team members and key stakeholders
• Collaborate with investment teams, data science, and technology partners
• Work independently on research and development projects
• Pre-process large datasets for signal processing and model estimation, including validation, cleaning, normalization, dimension reduction, and visualization
• Apply machine learning and generative artificial intelligence to uncover investment signals and enrich stock selection models
• Contribute to advanced investment analytics
• Work with portfolio managers to analyze market dynamics and their impact on factor behavior and portfolio performance

Requirements

• Pursuing a bachelor's degree in Statistics, Applied Mathematics, Quantitative Finance, Economics, Computer Science, Business, or related field
• Graduation date of December 2027 or May/June 2028
• Valid work authorization that does not now or in the future require visa sponsorship for employment in the United States
• Proficient programming skills in R, Python, SQL, or similar
• Experience with large dataset manipulation and statistical analysis
• Passion for the investment management industry
• Strong integrity and ethics
• Attention to detail
• Excellent communication, interpersonal, and presentation skills
• Ability to multitask, solve problems independently, and think creatively
• Proven organizational skills and ability to manage time effectively

Core Competencies

Demonstrates strong quantitative analysis and programming skills in R, Python, and SQL to support systematic equity strategies. Capable of applying machine learning and advanced analytics to enhance stock selection models and contribute to performance reporting.

Highest-signal resume keywords

• Quantitative Analysis
• Machine Learning
• Data Manipulation
• Statistical Analysis
• Presentation Skills

ATS Optimization Keywords

Hard Skills

• R Programming
• Python Programming
• SQL
• Statistical Analysis
• Data Visualization
• Signal Processing
• Model Estimation
• Dimension Reduction
• Data Cleaning
• Data Normalization

Soft Skills

• Attention to Detail
• Problem Solving
• Creativity
• Organizational Skills
• Interpersonal Skills

Industry Keywords

• Investment Management
• Systematic Equity Strategies
• Performance Reporting
• Market Dynamics
• Portfolio Performance