Quantitative Equity Research Analyst

Fidelity Investments - Boston, MA

Full-time - Mid Level

Boston, MA

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

About the position

The Quantitative Equity Research Analyst role focuses on leveraging large structured and novel data sources to generate alpha through advanced quantitative techniques. The position integrates quantitative research with technology and trading, utilizing various programming languages and analytical tools to enhance investment processes and model development.

Responsibilities

• Develops and maintains quantitative stock selection models globally.
• Participates in the team's research agenda and takes responsibility for the full life cycle of each project from idea generation, research design, back-testing and portfolio simulations, to implementation.
• Enhances the investment process by investigating techniques to improve portfolio construction and optimization.
• Implements quantitatively based equity models, transaction cost modeling, and risk mitigation.
• Evaluates and develops new risk models.
• Drives improvements to quant infrastructure and technology platform.
• Collaborates in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
• Prepares requirements documentation for use by software developers.

Requirements

• Bachelor's degree in Engineering, Physics, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and five years of experience as a Quantitative Equity Research Analyst, or a Master's degree with three years of experience, or a PhD with no experience.
• Demonstrated expertise in designing, creating, analyzing, and validating quantitative equity investment strategies using macro and micro economic reasoning and advanced mathematical techniques.
• Experience in conducting and streamlining quantitative research processes on signals and factors predicting future stock returns.
• Ability to develop medium to high frequency equity and FX market-predictive signals and process high frequency market data.

Nice-to-haves

• Experience with TensorFlow or PyTorch for machine learning techniques.
• Familiarity with data science techniques, big data ETL, and web scraping using HTCondor or Slurm.
• Knowledge of portfolio optimization techniques using Mosek or Gurobi.

Benefits

• Competitive salary based on experience and qualifications.