Quantitative Equity Research Analyst
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What you'll do
- Building quantitative factors and models through idea generation and empirical analysis to enhance the investment process of fundamental portfolio managers
- Evaluating large structured and alternative datasets to deliver differentiated sources of alpha
- Providing customized and proactive recommendations to portfolio managers by analyzing portfolio risk exposures, investigating portfolio construction and optimization techniques, and conducting performance attribution
- Assisting portfolio managers with new product development, fund pitches, and client communications
- Actively contributing to the team’s research agenda and taking responsibility for research projects, as well as publishing and distributing research internally
What they're looking for
- 7+ years of experience in quantitative equity research
- Relevant experience building multi-factor quantitative models employing both linear and non-linear (e.g., machine learning based or GenAI) algorithms
- Deep understanding of equity risk models, including model construction, factor and covariance definitions, factor calculations, and translating output statistics into meaningful information for fundamental investors
- Proven expertise with portfolio construction and optimization techniques
- Working knowledge of applying large language models to extract insights from unstructured data
- Proficiency with programming languages and statistical software (e.g., Python, R, SQL)
- Deep knowledge of various financial and economic databases, such as Compustat, Worldscope, IBES etc. Experience with financial packages and portfolio optimization tools (e.g., FactSet, Bloomberg, Barra)
- Master’s degree in quantitative finance, financial mathematics, business administration, computer science, engineering, or the physical sciences
- Ability to think independently with good economic intuition as well as strong presentation and communication skills
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Fidelity Investments is looking for a Quantitative Equity Research Analyst to join the Equity Quantitative team – a part of the Quantitative Research & Investments (QRI) division. In this role, the analyst will partner with fundamental Equity portfolio managers to provide quantitative analytics for alpha generation, risk management, and portfolio construction. The analyst will conduct research on new alpha sources to enhance existing models, deliver actionable advice on fund positioning and risk drivers, and assist with portfolio construction using optimizations and other systematic approaches.
The Value You Deliver
Building quantitative factors and models through idea generation and empirical analysis to enhance the investment process of fundamental portfolio managers
Evaluating large structured and alternative datasets to deliver differentiated sources of alpha
Providing customized and proactive recommendations to portfolio managers by analyzing portfolio risk exposures, investigating portfolio construction and optimization techniques, and conducting performance attribution
Assisting portfolio managers with new product development, fund pitches, and client communications
Actively contributing to the team’s research agenda and taking responsibility for research projects, as well as publishing and distributing research internally
The Expertise and Skills You Bring
7+ years of experience in quantitative equity research
Relevant experience building multi-factor quantitative models employing both linear and non-linear (e.g., machine learning based or GenAI) algorithms
Deep understanding of equity risk models, including model construction, factor and covariance definitions, factor calculations, and translating output statistics into meaningful information for fundamental investors
Proven expertise with portfolio construction and optimization techniques
Working knowledge of applying large language models to extract insights from unstructured data
Proficiency with programming languages and statistical software (e.g., Python, R, SQL)
Deep knowledge of various financial and economic databases, such as Compustat, Worldscope, IBES etc. Experience with financial packages and portfolio optimization tools (e.g., FactSet, Bloomberg, Barra)
Master’s degree in quantitative finance, financial mathematics, business administration, computer science, engineering, or the physical sciences
Ability to think independently with good economic intuition as well as strong presentation and communication skills
The Group
QRI is an investments and research division within Asset Management at Fidelity. QRI is responsible for managing and developing quantitative and hybrid quant/fundamental investment strategies and solutions while also providing high quality quantitative, data-driven research to Fidelity’s investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.
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