Fidelity Investments is looking for a Quantitative Analyst to join the Quant Index Solutions (QIS) group within the Asset Management Division.
The QIS group designs and manages proprietary indices covering equity, fixed income, and multi-asset class investment vehicles. The index solutions created by the QIS group enable shareholders to gain unique market exposures via factor or thematic indices that leverage Fidelity’s proprietary investment insights.Reporting to the Head of QIS, the Quantitative Analyst will be responsible for conducting quantitative research, advancing portfolio management analytics and performing portfolio management activities.As a member of this investment team, you will contribute to the quantitative analysis of institutional portfolios and build and enhance alpha modeling, portfolio management and monitoring systems.The ideal candidate is passionate about investments, driven, innovative and creative, a strong team player, humble, and possesses strong decision-making skills.
Specific Job Responsibilities
- Develop and maintain stock selection models for US, International, and Emerging Markets portfolios
- Research and improve portfolio construction and optimization techniques
- Create quantitative tools and infrastructure used to construct portfolios, conduct empirical research, and monitor portfolios
- Present analysis, performance attribution, and research ideas to clients
- Monitor research and events in the quantitative investment field with the goal of gaining investment and process insights that can enhance portfolio returns and risk
- Understand global macroeconomics and global financial markets with the goal of generating insights to improve risk adjusted returns of portfolios
The Quantitative Analyst position offers a valuable opportunity to learn and excel within a growing and highly visible investment group for an elite investment organization.
We are seeking individuals who have the following characteristics:
- 7+ years of experience in quantitative research
- Deep understanding of math and statistics and demonstrated programming skills
- Keen interest in the financial markets and investing
- Proficiency with programming languages and statistical software (e.g., Python, R, MATLAB, SQL, VBA)
- Bachelor’s degree in engineering, computer science, math, or the physical sciences, or from a quantitative economics or finance program; graduate degree in mathematical finance or MBA preferred
- Experience with financial packages and portfolio management tools (e.g., FactSet, Bloomberg)
- Strong communication and collaboration skills