Quantitative Equity Research Analyst

Fidelity Investments • Boston, MA

292d

About The Position

The Group Quantitative Research and Investing (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity’s investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis. The Role Fidelity Investments is looking for a Quantitative Analyst to join the Systematic Equity Strategies (SES) group — a part of Quant Research and Investments (QRI) Division. The SES team is responsible for the research, design, development, and implementation of systematic active and tax-managed equity strategies. Assets under management is approximately $25B and spans multiple equity products and customized separately managed accounts serving both intermediary and institutional investors. Reporting to the Head of the SES Research, the quantitative research analyst will be responsible for developing and maintaining quantitative stock selection models globally.

Requirements

• 10+ years of experience in quantitative equity research, preferably in asset management, investment consulting or academic research institutions.
• Deep understanding of econometrics, mathematics, and hands-on programming skills along with a passion for investing in the financial markets.
• Relevant experience with multi-factor models, quant equity portfolio construction, TCA, market impact modeling and strong equity microstructure knowledge preferred.
• Strong Data Science, 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. (preferred), in finance, quantitative economics, statistics, computer science, math, or the physical sciences.
• Deep knowledge of various financial and economic databases like Compustat, Worldscope, IBES etc.
• Experience with financial packages, portfolio optimization and management tools (e.g., FactSet, Bloomberg, Axioma, Barra).
• Ability to think independently with good economic intuition as well as strong presentation and communication skills.

Responsibilities

• Improving performance of stock selection models through idea generation, rigorous empirical analysis and back-testing.
• Investigate large structured as well as novel data sources to generate alpha.
• Actively participating in the team’s research agenda and taking responsibility for the full life cycle of each project from idea generation, research design, back-testing and portfolio simulations, to implementation.
• Partnering closely with other team members to enhance the investment process by investigating techniques to improve portfolio construction and optimization.
• Implementing quantitatively based equity models, transaction cost modeling, risk mitigation as well as evaluating and developing new risk models.
• Working in a collaborative team environment that integrates quant research, technology and trading and drive improvements to quant infrastructure and technology platform.

What This Job Offers

• Career Level: Senior
• Education Level: Master's degree