Quantitative Equity Research Analyst

Fidelity Investments - Boston, MA

Full-time - Entry Level

Hybrid - Boston, MA

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

Fidelity Investments is seeking a Quantitative Analyst to join the Systematic Equity Strategies (SES) group within the Quant Research and Investments (QRI) Division. This role focuses on the research, design, development, and implementation of systematic active and tax-managed equity strategies, managing approximately $20B in assets. The analyst will develop and maintain quantitative stock selection models, improve their performance through empirical analysis, and collaborate with team members to enhance investment processes.

Responsibilities

• Develop and maintain quantitative stock selection models globally.
• Improve performance of stock selection models through idea generation and rigorous empirical analysis.
• Investigate large structured and novel data sources to generate alpha.
• Participate in the team's research agenda from idea generation to implementation.
• Enhance the investment process by investigating techniques to improve portfolio construction and optimization.
• Implement quantitatively based equity models and evaluate new risk models.
• Collaborate in a team environment integrating quant research, technology, and trading.

Requirements

• 1-3 years of experience in quantitative equity research, preferably in asset management or investment consulting.
• Deep understanding of econometrics, mathematics, and programming skills.
• Relevant experience with multi-factor models, quant equity portfolio construction, and market impact modeling.
• Strong Data Science and Data Visualization skills.
• Proficiency with programming languages and statistical software (e.g., Python, R, MATLAB, SQL, VBA, Tableau).
• An advanced degree (Masters or Ph.D.) in finance, quantitative economics, statistics, computer science, math, or physical sciences.
• Deep knowledge of financial and economic databases like Compustat, Worldscope, IBES.
• Experience with financial packages and portfolio optimization tools (e.g., FactSet, Bloomberg, Axioma, Barra).
• Ability to think independently with good economic intuition and strong communication skills.

Nice-to-haves

• Experience in asset management or academic research institutions.
• Strong equity microstructure knowledge.

Benefits

• Flexible benefits that support career stages.
• Opportunities for learning and growth.
• Hybrid working model that blends onsite and offsite work experiences.