Job Description

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 $18B 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. Additional responsibilities include:

Improving performance of stock selection models though 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

The quantitative analyst position offers a valuable opportunity to learn and excel within a talented investment department for an elite investment organization.

Qualifications

We are seeking individuals who have the following characteristics:

5+ 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

Quantitative Equity Research Analyst